Data engineer jobs in Concord, NC - 1,671 jobs

SonSoft is an IT Staffing and consulting firm and duly organized under the laws of the Commonwealth of Georgia. We are growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Mandatory Technical Skills Have strong experience in databases like Teradata, Netezza or Oracle Good Experience in Unix Environment Good experience in Industry standard data modelling tools like Erwin. Experience in Performance tuning in DW environment. Experience on data modeling using Dimensional as well as ER-Model Have working Knowledge of Industry Standard Reporting/ETL tools. Qualifications Preferred/Good to have Worked in both OLTP and DW implementation Have good understanding of the new technologies i.e. No SQL, Open source Technologies, Columnar databases. Ability to work in team in diverse/ multiple stakeholder environment. Analytical skills. Experience and desire to work in a Global delivery environment. Job description Person needs to Interacting with Project stake holders to understand functional as well as technical requirements and documenting, publishing to Team. Experience in developing, validating, publishing, maintaining LOGICAL data models with exposure to or experience in developing, validating, publishing, maintaining PHYSICAL data models Evaluate existing data models and physical databases for variances and discrepancies Experience with managing meta data for data models To develop, publish, maintain all documentation for data models Work with Business Analysts, Data Architects, Software developers, DBAs to achieve project objectives - delivery dates, cost objectives, quality objectives, business customer satisfaction objectives, etc. Take part Data Quality, Data governance processes Leverage and enforce standards for data naming conventions to ensure consistency and reuse of data models Validate business use cases for accuracy and completeness of proposed data models. Ability to communicate strategies and processes around data modeling and architecture to cross functional groups and senior level Basic Qualifications :- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of experience in IT industry. At least 4 years of experience with DW/BI and related tools At least 2 years of experience with Data Modeling related tools Understanding of Data Modeling architectural principles Additional Information ** U.S. citizens and those authorized to work in the U.S. are encouraged to apply . We are unable to sponsor at this time. Note:- This is a Full-Time Permanent job opportunity for you. Only US Citizen, Green Card Holder, TN Visa, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD & H1B Consultants please. Please mention your Visa Status in your email or resume.

Don't Just Analyze-Influence: Join EVOQ as Our Data Scientist As our Data Scientist, you will be responsible for developing an integrated data ecosystem across our agencies and client portfolios. You'll aggregate, clean, and analyze data from disparate systems (e.g., Shopify, Amazon Seller Central, TikTok Shop, Meta, Google Ads, GA4, HubSpot, and CRM systems) to deliver deep, actionable insights that drive revenue growth. This role is not about generating more data. Our clients need more signal and less noise. You will identify and articulate the strategic implications and deliver recommendations that are specific, actionable, and designed to influence behavior across organizations. You will be at the intersection of data science, strategy, and storytelling. You'll play a pivotal role in helping our clients answer complex questions such as: Are TikTok Shop or Amazon sales cannibalizing our DTC website sales? What is the true blended ROAS across all channels? How do paid, owned, and earned investments correlate with lifetime value and margin by channel? Which creative and influencer strategies drive incremental lift-not just clicks? How can we accurately calculate marketing attribution across channels-and build custom attribution models that reveal true incremental value?" You'll partner with our analytics, media, and strategy teams across all EVOQ agencies to create models, dashboards, and methodologies that help clients understand, predict, and optimize performance across channels. Let us introduce ourselves: EVOQ is not a holding company. It is a strategic collective of best-in-class, independently owned marketing agencies that share a common standard of excellence, a culture of innovation, and a commitment to client success. Each agency operates independently but is united by a shared belief: that collaboration, specialization, and strategic alignment can create marketing that outperforms expectations. EVOQ offers: Access to elite, discipline-specific expertise across the marketing ecosystem A flexible model: a la carte services or fully integrated solutions Scalable resources without the red tape of traditional holding companies A culture grounded in ownership, accountability, and entrepreneurial energy The freedom to innovate, evolve, and lead--not follow What you'll do as Data Scientist: Lead our data strategy: Design and maintain a unified data infrastructure connecting systems like Amazon, Shopify, GA4, TikTok Shop, and more Build robust ETL pipelines and APIs to centralize multi-channel data Develop a scalable data lake/warehouse for cross-agency analytics Establish strategic measurement frameworks that go beyond vanity metrics Build models that matter: Create econometric and attribution models (MMM, MTA) to decode marketing performance Analyze incrementality, channel cannibalization, and blended ROAS Deliver predictive models that uncover efficiency, margin growth, and ROI Translate complex data into insights that directly influence brand and business strategies Communicate for impact: Develop intuitive dashboards (Power BI, Looker Studio, etc.) Synthesize data into clear, compelling stories for both technical and non-technical audiences Define KPIs that align with client success and agency growth Help evolve our analytics culture with storytelling at its core Be a strategic leader: Serve as the group-wide data science expert across all EVOQ agencies Mentor analysts and build data fluency across functions Lead data governance and standardization efforts Stay ahead of trends in AI, marketing analytics, and e-commerce intelligence Knowledge and skills required for the position are: Bachelor's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, Economics, or a related quantitative field. 7+ years of experience in data science, marketing analytics, or quantitative marketing roles, preferably in an advertising agency, performance marketing, or e-commerce environment. Proficiency with Python, R, SQL, and modern ETL tools (e.g., Airflow, dbt, Fivetran). Experience with data warehousing solutions (e.g., BigQuery, Snowflake, Redshift). Experience with marketing intelligence and attribution platforms (e.g., Northbeam, TripleWhale, Funnel) Familiarity with API integrations and marketing data connectors Hands-on experience with visualization platforms like Power BI, Tableau, or Looker Studio. Experience developing MMM, MTA, and causal inference models. Deep understanding of marketing and commerce platforms including Google Ads, Meta Ads, Amazon, TikTok Shop, Shopify, Klaviyo, GA4, and CRM systems. Experience analyzing blended ROAS, attribution, and incrementality in omnichannel campaigns. Preferred Qualifications Previous experience working with or within a digital or performance marketing agency. Proven ability to balance hands-on analysis with leadership and cross-team collaboration. Strong understanding of data privacy, governance, and compliance standards. Excellent communication and presentation skills-able to make the complex simple and strategic. Experience in influencing brand or media strategy through insight storytelling. Ability to simplify complex systems into frameworks, models, and stories that non-technical stakeholders can understand and act on. Join EVOQ as a Data Scientist and advance your career! EVOQ offers a competitive benefits package, including top-tier insurance, flexible PTO, and a 401k match. Apply Now!

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. Primary Purpose The Data Engineer IV will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. They will drive our data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They engage through the entire lifecycle of a project from data mapping, data pipelines, data modeling, and finally data consumption. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. They will proactively optimize or even assist with the design of our company's data architecture to support our next generation of products and data initiatives. They will work on various, ambiguous, and complex issues, where analysis of situations or data requires an in- depth evaluation of variable factors, thorough understanding of the business strategy, operations, markets and key stakeholders. Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC , Chicago, IL, Quincy, MA. Applicants must be currently authorized to work in the United States on a full-time basis. Duties and Responsibilities * Creates and approves source to target data mappings for data pipelines and integration activities * Identifies and resolves the impact of proposed application development/enhancements projects * Performs data profiling and process analysis to understand key source systems and uses knowledge of application features and functions to assess scope and impact of business needs * Works with business users to design, develop, test, and implement business intelligence solutions in the Data & Analytics Platform * Assists in assessing alternative software solutions for workability and technical feasibility. * Work closely with business teams in every stage from gathering requirements to closure of project * Work with the key stakeholders to create requirements for each business solution, ensure the requirements are developed in concert with and agreed upon by the business partner, and that the solution delivers the agreed upon business needs * Implement and maintain data governance policies and procedures to ensure data quality, security and compliance * Initiates and leads workstreams for improving way of working in teams, eliminating technical debt and optimizing business processes * Acts as a subject matter expert on technology solution * Responsible for coaching/mentoring/leading junior engineers * Consistently delivers very high-quality work in cross-functional environments - seen as an expert and technical leader among peers * Has a balanced approach to team empowerment and leadership driving successful brainstorming sessions and solid technical conclusions to work approaches while modeling self-accountability, continuous development and team contributions * Remain up to date on emerging technologies and best practices in data engineering. Recommend new approaches to improving data infrastructure * Ensure operational stability of a 24/7/365 grocery retail environment by providing technical support, system monitoring, and issue resolution which may be required during off-hours, weekends, and holidays as needed Qualifications * Bachelors Degree in Computer Science, CIS or related (or equivalent related work experience) * 8 or more years of equivalent experience in relevant job or field of technology * Experience in an advanced role or technical capacity, leading teams directly or indirectly * Experience directly responsible for guiding, training or onboarding team members in relevant technologies, capabilities or skills * Experience with some or all of the following: Databricks, Azure Data Factory, Azure DevOps, TSQL, Python, PySpark, PowerBI, Data Warehouse Concepts Preferred Qualifications * Masters Degree in relevant field of study, Additional trainings or certifications in relevant field of study * 3 or more years experience in Agile teams and Product/Platform based operating model * 3 or more years of experience in leading teams or advancing technical capability in teams * Experience in retail or grocery preferred #DICEJobs #LI-hybrid #LI-SS1 Salary Range: $146,960 - $220,440 Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.

Must Have Technical/Functional Skills Technical Skills * Machine Learning (ML) techniques and algorithms * Hypothesis Testing and Statistical Analysis * Regression Analysis and Predictive Modeling * Natural Language Processing (NLP) * Programming in Python and/or R * SQL for data manipulation and querying * Experience with PyTorch and TensorFlow Functional Skills * Strong foundation in Mathematics and Statistics * Familiarity with Machine Learning product system design * Understanding of Large Language Models (LLMs) * Proficiency in model documentation and model governance Roles & Responsibilities * Work with business SMEs to understand data requirements and translate them into predictive models and analytical tools. * Apply NLP and applied mathematics techniques to develop text classification tools for automating manual document review processes. * Present insights using data visualization techniques and communicate findings effectively. * Assess the accuracy and effectiveness of new data sources and data gathering techniques. * Develop processes and tools to monitor and analyze model performance. Salary Range- $95,000-$130,000 a year

Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it's a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn't been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements - an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! About the Team The Data Platform Team at Scout is dedicated to unlocking the full potential of data by building a secure, scalable, and distributed platform that enables real-time insights, drives informed decision-making, and fosters innovation across the organization. Our mission is to empower teams with actionable intelligence by streamlining data sharing, ensuring regulatory compliance, maintaining data integrity, and optimizing costs at every level. This role is focused on building foundation for deploying AI-enabled use cases across company operations. What you'll do Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Contribute to the design, implementation, and maintenance of the overall cloud infrastructure data platform using modern IaC (Infrastructure as Code) practices. Work closely with software development and systems teams to build Data Integration solutions. Design and build Data models using tools such as Lucid, Talend, Erwin, MySQL workbench. Define and enhance enterprise data model to reflect relationships and dependencies. Review application data systems to ensure adherence to data governance policies. Design and build ETL (Python), ELT(Python) infrastructure, automation, and solutions to transform data as required. Design and Implement BI dashboards to visualize Trends and Forecasts. Design and implement data infrastructure components, ensuring high availability, reliability, scalability, and performance. Design, train and deploy ML models Implement monitoring solutions to proactively identify and address potential issues. Collaborate with security teams to ensure the data platform meets industry standards and compliance requirements. Collaborate with cross-functional teams, including product managers, developers, and business partners to ensure robust and reliable systems. Location & Travel Expectations: This role will be based out of the Scout Motors corporate headquarters in Charlotte, NC. This role may be remote to start but will transition to an in-office setting at the headquarters within 6 months of start date. This role is not eligible for remote work in New York City. The responsibilities of this role require 4-5 days attendance in office with in-person meetings and events regularly. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. What you'll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You'll be comfortable with change and flexible in a fast-paced, high-growth environment. You'll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: Bachelor's degree in computer science, information technology, or related field or equivalent work experience. 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment. Experience with streaming and event-based architecture. Experience implementing data lakehouse solutions using Databricks. Experience with infrastructure as code (Terraform). Proficient in building data pipelines using languages such as Python and SQL. Experience with AWS based data services such as Glue, Kinesis, Firehose or other comparable services. Experience with Structured, unstructured and time series databases. Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, Influx. Several years of experience working with cloud platforms such as AWS and Azure. Proven ability to develop and deploy scalable ML models. Hands-on experience in designing, training, and deploying ML models Strong ability to extract actionable insights using ML techniques Ability to leverage ML algorithms for forecasting trends and decision-making Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away. Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options. What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting - with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = $140,000.00 - $170,000.00 Initial California base salary range = $154,000.00 - $187,000 Internal leveling code: IC8 Notice to applicants: Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.

Job Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling. Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying. Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn). Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow). Strong analytical skills and the ability to work with large datasets to extract meaningful information. Experience in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving abilities and strong communication skills to present findings effectively. A degree in Computer Science, Mathematics, Statistics, or a related field is preferred. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at ***************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Use your Data Science skills in the fight against chronic diseases. Our client operates a pioneering disease management platform, focusing on delivering value-based care tailored to individuals with chronic conditions. By seamlessly integrating human expertise with cutting-edge software and analytics, the platform actively engages patients soon after diagnosis, ensuring they receive the most appropriate care swiftly. It offers continuous support by employing targeted, evidence-based interventions, significantly enhancing patient outcomes and making a meaningful difference in their health journey. As a Data Scientist, you will become an integral part of our Data team, tasked with enhancing our analytical capabilities to support our overarching mission. Your role will involve modeling data and crafting visualizations to communicate with stakeholders, delivering insights that prompt actionable measures. A background in working with healthcare data, including claims, prior authorizations, and electronic health records, is crucial for success in this role. You will work closely with teams across Product, Engineering, Clinical, and Operations to pinpoint opportunities for improving outcomes and monitoring the effectiveness of our interventions for our members and clients. Your contributions will be pivotal in establishing strong relationships with providers by developing data products that support practice transformation efforts. Within three months, you will: - Acquire a comprehensive understanding of our data platform, contributing to the enhancement of our data models and pipelines. - Forge relationships with oncology practices and providers, showcasing our expertise in developing data and analytics products. - Collaborate with stakeholders to grasp their business needs and translate these into technical specifications, involving the creation of data models, pipelines, and analytics dashboards using tools such as Looker or RStudio. This may include utilizing dbt to construct models for analyzing medical claims data to identify value care utilization across oncology practices or examining the dispersion of medical care among our members and its impact on out-of-pocket expenses. After six months, you will: - Assume responsibility for and lead the development of data models to assess the impact of our interventions with oncology practices, reporting outcomes both internally and externally. - Play a crucial role in enhancing our data infrastructure and devising a roadmap for a scalable and modular data architecture to accommodate our team's expansion. - Lead in the development of utilization and quality metrics, becoming the primary contact for stakeholder inquiries. You will also utilize our data assets for identifying business opportunities and strategic initiatives. Keys to success include: - Prioritizing our members. The mission of our organization, especially the experience of our members, is of utmost importance to you. - Being action-oriented. You have a knack for identifying and prioritizing the needs of your initiatives, ensuring that urgent and important tasks are addressed promptly. - Valuing diverse perspectives. You are humble, constantly seeking feedback, and are keen on learning and sharing knowledge. - Relevant experience. You have experience handling large healthcare datasets, preferably within a health plan or a healthcare-focused technology startup with advanced data structures and pipelines. Expertise in medical claims, pharmacy claims, eligibility files, and other pertinent healthcare data is vital for creating data marts for reporting and analysis. - Technical proficiency. Your skills in analytics, data modeling, and data transformation are essential. While familiarity with DBT is preferred, we welcome candidates who are eager to learn it swiftly. Experience with Python or R and tools like Looker for data analysis and visualization is advantageous. - Effective communication. You are adept at expressing your ideas clearly to both technical and non-technical team members and stakeholders. - Comfort with ambiguity. You have a proven track record of navigating through challenges and finding solutions in uncertain situations, particularly in fast-paced environments and ambitious startups.

Insight Global is seeking a Data Engineer for one of our large retail food service clients. This position will be within the BI & Analytics group supporting unattended retail solutions for clients and consumers across the US. This individual will be responsible for the following: - Develop the comprehensive knowledge required to support existing Production models and forecast solutions - Implement automated processes for efficiently generating and monitoring production forecasting models - Design and creates algorithms, machine-learning models, re-trains and tunes the model for efficiency and scalability in a cloud environment - Develop ad hoc and statistical analysis to determine trends and significant relationships - Develop and validates predictive and prescriptive models to identify opportunity for business improvement - Identifies unique opportunities and strategizes new uses for data; active engagement with the business customer to identify measurable criteria - Present and communicates complex analyses and content appropriate for the audience - Collaborate and develops a working relationship with IT, Data Engineers and Analytics teams to understand and share best practices and inter-dependencies between teams, data sources, technologies, and platforms - Accountable for ensuring high quality solutions are delivered within project timelines We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (****************************************** Og4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (*********************************************************************************************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements - Graduate studies or BS Degree in Data Science, Computer Science, Mathematics, Statistics, or related field. - 2+ years of experience in large complex data analysis and predictive modeling in a corporate setting - Experience with designing and building processes with large, complex data sets from multiple data sources - 2+ years of advanced proficiency in writing complex MS SQL, including aggregate analysis over large complex datasets, multiple joins and query optimization - Proficient coding abilities in the major programming languages including R and Python - Experience with "end to end" Machine Learning model development - Skilled in best practices for data handling and imputation - Familiar with a variety of ML modeling techniques including limitations and appropriate application of models such as forecasting, logistic regression, random forest, and gradient boost. - Proficiency with MS Excel and pivot tables/charts. - Experience visualizing business insights with MS Power BI or other data visualization tools preferred. - Demonstrates excellent verbal and written communication skills as well as the ability to present complex topics effectively and in a simplified and appropriate manner - Inquisitive, energetic initiative-taker, able to work independently or collaboratively in a fast-paced team environment. - Experience with Snowflake and Snowpark preferred. - Experience working with Azure DevOps; Sprint Agile projects preferred. - Experience with analysis within the retail industry is a plus.

Our client, a top-tier Management Consulting firm, is seeking a highly skilled Applied AI Data Scientist for a top tier US Bank. Responsibilities and Requirements: Perform statistical analysis, clustering, and probability modeling to drive insights and inform AI-driven solutions Analyze graph-structured data to detect anomalies, extract probabilistic patterns, and support graph-based intelligence Build NLP pipelines with a focus on NER, entity resolution, ontology extraction, and scoring Contribute to AI/ML engineering efforts by developing, testing, and deploying data-driven models and services Apply ML Ops fundamentals, including experiment tracking, metric monitoring, and reproducibility practices Collaborate with cross-functional teams to translate analytical findings into production-grade capabilities Prototype quickly, iterate efficiently, and help evolve data science best practices across the team Solid experience in statistical modeling, clustering techniques, and probability-based analysis Hands-on expertise in graph data analysis, including anomaly detection and distribution pattern extraction Strong NLP skills with practical experience in NER, entity/ontology extraction, and related evaluation methods An engineering-forward mindset with the ability to build, deploy, and optimize real-world solutions (not purely theoretical) Working knowledge of ML Ops basics, including experiment tracking and key model metrics Proficiency in Python and common data science/AI libraries Strong communication skills and the ability to work collaboratively in fast-paced, applied AI environments

Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the target base salary pay range in the following locations: Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000. In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We will accept applications until 1/31/2026 or until the positions are filled.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. The Lead Graph Data Scientist - Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Develops and mentors junior staff, establishing a culture of R&D to augment the day-to-day aspects of the job What you'll do: Gathers, interprets, and manipulates sophisticated structured and unstructured data to enable sophisticated analytical solutions for the business. Leads and conducts sophisticated analytics demonstrating machine learning, simulation, and optimization to deliver business insights and achieve business objectives. Guides team on selecting the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. Partners with business leaders from across the organization to proactively identify business needs and proposes/recommends analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly sophisticated modeling. problems/research efforts. Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Assists team with translating business request(s) into specific analytical questions, implementing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations. Manages project portfolio breakthroughs, risks, and impediments. Anticipates potential issues that could limit project success or implementation and intensifies as needed. Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Interacts with internal and external peers and management to maintain expertise and awareness of pioneering techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to data scientists in modeling, analytics, computer science, eye for business, and other interpersonal skills. Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years of experience in a predictive analytics or data analysis 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Project management experience that demonstrates the ability to anticipate and appropriately manage project landmarks, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 5 years of experience with model development or other advanced fraud detection algorithms Over 4 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $164,780 - $296,610. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: * Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. * Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. * Write code to ensure the performance and reliability of data extraction and processing. * Support continuous process automation for data ingest. * Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. * Work with program management and engineers to implement and document complex and evolving requirements. * Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. * Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: * Must be a US Citizen. * Must be able to obtain a Public Trust Clearance. * 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. * Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. * Proficiency in developing ETL processes, and performing test and validation steps. * Proficiency to manipulate data (Python, R, SQL, SAS). * Strong knowledge of big data analysis and storage tools and technologies. * Strong understanding of the agile principles and ability to apply them. * Strong understanding of the CI/CD pipelines and ability to apply them. * Experience with relational database, such as, PostgreSQL. * Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: * Experience creating and consuming APIs. * Experience with DHS and knowledge of DHS standards a plus. * Candidates will be given special consideration for extensive experience with Python. * Ability to develop visualizations utilizing Tableau or PowerBI. * Experience in developing Shell scripts on Linux. * Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. * Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: * Health, Dental, and Vision * Life Insurance * 401k * Flexible Spending Account (Health, Dependent Care, and Commuter) * Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: ************************************* For more information about CGS please visit: ************************** or contact: Email: [email protected] #CJ $112,597.33 - $152,810.66 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Client: Financial Services Team: Investment Solutions, Banking, Lending and TR Job Title: Senior Data Engineer - SQL & Reporting x2 Contract Length: 18+ months Rate: $65-70/hr Top Requirements: * Database design experience using MS SQL Server - 7+ years * Stored procedures/complex queries (T-SQL, PL/SQL) - 7+ years * MS Reporting Services - 5+ years * MS Power BI - 3+ years * MS SSIS - 3+ years * Broadcom AutoSys - 3+ years * IBM Connect: Direct (NDM) - 3+ years * Knowledge of financial services, especially advisory products * Compliance and Certification Management Job Summary: In this contingent role, the Software Engineer will leverage extensive experience in database design and development to support complex software initiatives. The engineer will analyze, develop, and optimize database solutions, contribute to reporting and data visualization efforts, and collaborate with cross-functional teams to ensure scalable and efficient data systems that meet business needs. Day-to-Day Responsibilities: * Design, develop, and optimize database schemas and objects using MS SQL Server; * Create and maintain complex stored procedures and queries (T-SQL, PL/SQL); * Develop reports and dashboards using MS Reporting Services and Power BI; * Build and support ETL pipelines with MS SSIS; * Automate and schedule processes using Broadcom AutoSys and IBM Connect: Direct; * Collaborate with technical and business teams to gather requirements and deliver solutions; * Ensure compliance with financial industry standards and security protocols. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Location: Charlotte, NC, US Job Type: Date Posted: December 12, 2025 Similar Jobs * Senior Data & Analytics Consultant * Senior Data Engineer * Senior Data Engineer * Data Analytics & Engineering - Data Analyst II * MOSA PowerBi / Sql Sr CE

Daily responsibilities Develop Spark/ BQ data pipelines in GCP DataProc Cluster Develop data models and schema to support business requirements Ensure data quality and reliability by developing automated checks in place Optimize performance and ensure adherence to SLAs Document and share learnings with the rest of the team. Candidate will be working on and migrating workloads from Hadoop OnPrem cluster to GCP. Team is geographically spread based mainly out of Charlotte, NC and Bangalore, India. Candidate should be able to communicate in a concise and clear manner to keep the team appraised of day-to-day progress. Required Skills GCP/ Big query Experience - 1 year minimum Scala/ Python - 3+ years SQL - 3+ years Strong SQL, one or more programming language Scala/ Python Preferred Skills Exposure to building semantic layer in LookML GCP Certification Master's Degree In related field

PartsSource is the leading technology and software platform for managing mission-critical healthcare equipment. Trusted by over 5,000 US hospitals and 15,000 clinical sites, PartsSource empowers providers and service organizations to maximize clinical availability for patient care and automates the procurement of parts, services and training through a unique digital experience. PartsSource team members are deeply committed to our mission of Ensuring Healthcare is Always On , which is foundational to our success and growth. Our vibrant culture is built upon aligned values, shared ownership, mutual respect, and a passion for collaborating to solve complex customer problems. About the Job Opportunity The GTM Data Engineer is responsible for building and maintaining a single, trusted customer and revenue data foundation across Marketing, Sales, and Customer Success. This role partners closely with Revenue Operations to ensure all GTM teams operate from a consistent source of truth for pipeline, revenue, retention, and growth. You will own how GTM data is structured, enriched, validated, and made available-eliminating data ambiguity and enabling confident, data-driven decision making. What You'll Do GTM Data Modeling & Governance (Technology - Data Engineering: Data Modeling & Architecture, Data Quality & Governance) Design and maintain the canonical customer, account, and revenue data model across GTM systems Resolve identity across contacts, accounts, users, assets, services, and subscriptions Define authoritative objects and metrics for pipeline, bookings, renewals, expansion, and churn Ensure historical accuracy, data lineage, and consistent metric definitions Data Enrichment, Integration & Pipelines (Technology - Data Engineering: ETL & Data Integration, Data Pipeline Development) Build and manage data pipelines across CRM, marketing automation, services, and financial systems Identify data gaps and implement enrichment strategies to improve completeness and usability Merge datasets into unified customer and account views with clear conflict-resolution rules Own schema changes, backfills, reprocessing, and validation as systems evolve Attribution, Revenue Logic & Reporting Enablement (Sales Revenue Operations: Performance Metrics & Reporting, Sales Analytics) Implement approved attribution and revenue logic consistently across channels and time periods Validate sourced, influenced, and assisted revenue before executive reporting Enable trusted funnel, pipeline, retention, and expansion reporting within systems of record Reduce reliance on spreadsheets and manual reconciliation GTM Architecture, CDP & AI Readiness (Technology - Systems & Applications: Systems Integration, Systems Thinking) Support a warehouse-centric or composable CDP approach for GTM data Partner with GTM leadership to evolve long-term data architecture Prepare high-quality, LLM-ready datasets for AI-enabled GTM workflows Ensure access controls, privacy, and compliance requirements are met What You'll Bring Your Background 5+ years in data engineering, analytics engineering, or GTM data roles Strong experience with CRM and GTM data models Advanced SQL skills and experience with modern data stacks and ETL tools Experience supporting attribution, lifecycle, and revenue reporting Familiarity with Customer Data Platforms or warehouse-centric CDP approaches Ability to work cross-functionally with Marketing, Sales, Customer Success, Finance, and RevOps Who We Want to Meet Act Like an Owner - Accountability & Execution : You take full ownership of GTM data quality and follow through to reliable outcomes. Serve with Purpose - Business Impact : You connect data architecture decisions to revenue visibility and GTM effectiveness. Adapt to Thrive - Managing Ambiguity : You remain productive amid evolving systems, definitions, and priorities. Collaborate to Win - Influence & Communication : You partner effectively with RevOps and GTM teams to align on shared metrics. Challenge the Status Quo - Data-Informed Decision Making : You use evidence and clarity to replace assumptions and debates. Benefits & Perks Competitive compensation package with salary, incentives, company ownership/equity, and comprehensive benefits (401k match, health, college debt reduction, and more!) Career and professional development through training, coaching and new experiences. Hybrid culture with new & beautiful workspaces that balance flexibility, collaboration, and productivity. Inclusive and diverse community of passionate professionals learning and growing together. Interested? We'd love to hear from you! Submit your resume and an optional cover letter explaining why you'd be a great fit. About PartsSource Since 2001, PartsSource has evolved into the leading technology and software platform for managing mission-critical equipment, serving over half of the U.S. hospital infrastructure. Our digital systems modernize and automate the procurement of parts, services, technical support, and training for HTM professionals to efficiently and effectively maintain their mission-critical equipment. PartsSource employs over 700 employees nationwide that committed to supporting healthcare providers and ensuring healthcare always on. In 2021, Bain Capital invested in the business, further accelerating our growth and positive impact within the healthcare industry. Read more about us here: · PartsSource Named to Newsweek's List of the Top 200 America's Most Loved Workplaces for 2024 · PartsSource Named Among the Top 50 Healthcare Technology Companies of 2025 · PartsSource Named Among the Top 25 Healthcare Software Companies of 2025 · PartsSource President and CEO Philip Settimi Named to Top 50 Healthcare Technology CEO List 2025 · WSJ: Bain Capital Private Equity Scoops Up PartsSource EEO PartsSource, Inc., and its affiliates and subsidiaries, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Legal authorization to work in the U.S. is required.

Summary/Objective Are you looking to work at a high growth, innovative, and purpose driven FinTech company? If so, you'll love Paymentus. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill payment and presentment for more than 1700 clients. We are a SaaS provider that enables companies to help their customers simplify their financial lives. We do that by making it easier for consumers and businesses to pay bills, plus move and manage money to achieve strong financial health. We continually build upon a massively scalable platform, supporting thousands of businesses and millions of transactions on a daily basis. We're looking for high performers to join our team who excel in their expertise and who can transform plans into action. You'll have the opportunity to grow in an environment where intelligence, innovation, and leadership are valued and rewarded. Essential Functions/ Responsibilities The Data Conversion Engineer serves as a key component of the Platform Integrations team, providing technical support and guidance on data conversion projects. Conversions are an integral part in ensuring adherence to Paymentus' standards for a successful launch. This role is essential to ensure all bill payment data converts properly and efficiently onto the Paymentus platform. Develop data conversion procedures using SQL, Java and Linux scripting Augment and automate existing manual procedures to optimize accuracy and reduce time for each conversion Develop and update conversion mappers to interpret incoming data and manipulate it to match Paymentus' specifications Develop new specifications to satisfy new customers and products -erve as the primary point of contact/driver for all technical related conversion activities Review conversion calendar and offer technical support and solutions to meet deadlines and contract dates Maintain and update technical conversion documentation to share with internal and external clients and partners Work in close collaboration with implementation, integration, product and development teams using exceptional communication skills Adapt and creatively solve encountered problems under high stress and tight deadlines Learn database structure, business logic and combine all knowledge to improve processes. Be flexible Monitor new client conversions and existing client support if needed; provide daily problem solving, coordination, and communication Management of multiple projects and conversion implementations Ability to proactively troubleshoot and solve problems with limited supervision Education and Experience S. Degree in Computer Science or comparable experience Strong knowledge of Linux and the command line interface Exceptional SQL skills Experience with logging/monitoring tools (AWS Cloudwatch, Splunk, ELK, etc.) Familiarity with various online banking applications and understanding of third-party integrations is a plus Effective written and verbal communication skills Problem Solver - recognizes the need to resolve issues quickly and effectively, uses logic to solve problems; identifies problems and brings forward multiple solution options; knows who/when to involve appropriate people when troubleshooting issues Communication; ability to use formal and informal written and/or verbal communication channels to inform others; articulates ideas and thoughts clearly both verbally and in writing Dynamic and self-motivated; able to work on their own initiative and deliver the objectives required to maintain service levels Strong attention to detail Proficiency with raw data, analytics, or data reporting tools Nice to Have Background in the Payments, Banking, E-Commerce, Finance and/or Utility industries Experience with front end web interfaces (HTML5, Javascript, CSS3) Cloud technologies (AWS, GCP, Azure) Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment such as laptop computers, photocopiers and smartphones. Physical Demands This role requires sitting or standing at a computer workstation. Position Type/Expected Hours of Work This is a full-time position. Days and hours of work are Monday through Friday, 40 hours a week. Occasional evening and weekend work may be required as job duties demand. Travel No travel required for this role. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. EEO Statement Paymentus is an equal opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, ancestry, citizenship status, religion, marital status, disability, military service or veteran status, genetic information, medical condition including medical characteristics, or any other classification protected by applicable federal, state, and local laws and ordinances. Our management is dedicated to ensuring the fulfillment of this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment. Reasonable Accommodation Paymentus recognizes and supports its obligation to endeavor to accommodate job applicants and employees with known physical or mental disabilities who are able to perform the essential functions of the position, with or without reasonable accommodation. Paymentus will endeavor to provide reasonable accommodations to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so would impose an undue hardship on the Company or pose a direct threat of substantial harm to the employee or others. An applicant or employee who believes he or she needs a reasonable accommodation of a disability should discuss the need for possible accommodation with the Human Resources Department, or his or her direct supervisor.

ADI is seeking a passionate Data Platforms Engineer to design, develop, and maintain our enterprise data platforms. As the Engineer of Data Platforms, you will be part of a talented engineering and operations team focused on building and supporting secure, performant, and scalable next gen data platforms that include Snowflake, Databricks, MS Fabric, PowerBI, DBT, Airflow, Azure data services, SQL Server database and modern AI/ML technologies. This role will help ensuring our data infrastructure meets both present and future needs while adhering to governance, compliance and operational excellence. JOB DUTIES: * Platform Development - end-to-end engineering data platforms, ensuring platform reliability, scalability, and extensibility that evolves with the business goals and customer needs * Build reusable frameworks and automation using snowflake cloud, GitHub, Azure Data Factory, DBT, or similar tools. * Maintain critical infrastructure, including OLTP databases, near real-time data pipelines, batch processing systems and frameworks that make data infrastructure accessible for engineering teams * Administer, configure, maintain and support data, analytics and cloud data platforms * Manage and administer data security and protection to protect the databases against threats or unauthorized access. * Contribute to data modeling, partitioning, indexing, clustering, and performance optimization efforts in Snowflake and other data platforms, following established best practices * Resource Monitoring, cost optimization, data validation and quality checks inbuilt into the data pipeline * Maintain run books and knowledge bases for platform operations team * Ensure seamless integration of data systems across the company, collaborating with data engineering and analytics teams to align solutions with business needs * Performs after-hours support for critical production systems with occasional, scheduled maintenance or release deployments and provide on call support as needed YOU MUST HAVE: * 2+ years' overall experience designing, deploying, managing and supporting RDBMS, Data Warehouse systems, Data Lake, and BI solutions, including working with any platforms such as, SQL Server, Snowflake Cloud, Databricks, DBT, ADF (Azure Data Factory) and other Azure services * Advanced SQL proficiency * Proficiency in Snowflake cloud advanced capabilities * Hands-on public cloud experience including experience with technologies and tools such as Continuous Integration, Continuous Deployment, Configuration Management, and Provisioning Automation with tools such as Github * Understanding of security practices and certificate management * Experience with orchestration tools WE VALUE: * Certifications in cloud technologies, data management, or data engineering (e.g., Azure Data Engineer, Snowflake SnowPro core/Advanced) * Understanding of enterprise data management principles * Experience with AI/ML technologies and MLOps capabilities and tools * Experience with Data Platforms administration #LI-MH2 #LI-HYBRID

Summary/Objective Are you looking to work at a high growth, innovative, and purpose driven FinTech company? If so, you'll love Paymentus. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill payment and presentment for more than 1700 clients. We are a SaaS provider that enables companies to help their customers simplify their financial lives. We do that by making it easier for consumers and businesses to pay bills, plus move and manage money to achieve strong financial health. We continually build upon a massively scalable platform, supporting thousands of businesses and millions of transactions on a daily basis. We're looking for high performers to join our team who excel in their expertise and who can transform plans into action. You'll have the opportunity to grow in an environment where intelligence, innovation, and leadership are valued and rewarded. Essential Functions/ Responsibilities The Data Conversion Engineer serves as a key component of the Platform Integrations team, providing technical support and guidance on data conversion projects. Conversions are an integral part in ensuring adherence to Paymentus' standards for a successful launch. This role is essential to ensure all bill payment data converts properly and efficiently onto the Paymentus platform. * Develop data conversion procedures using SQL, Java and Linux scripting * Augment and automate existing manual procedures to optimize accuracy and reduce time for each conversion * Develop and update conversion mappers to interpret incoming data and manipulate it to match Paymentus' specifications * Develop new specifications to satisfy new customers and products * -erve as the primary point of contact/driver for all technical related conversion activities * Review conversion calendar and offer technical support and solutions to meet deadlines and contract dates * Maintain and update technical conversion documentation to share with internal and external clients and partners * Work in close collaboration with implementation, integration, product and development teams using exceptional communication skills * Adapt and creatively solve encountered problems under high stress and tight deadlines * Learn database structure, business logic and combine all knowledge to improve processes. * Be flexible * Monitor new client conversions and existing client support if needed; provide daily problem solving, coordination, and communication * Management of multiple projects and conversion implementations * Ability to proactively troubleshoot and solve problems with limited supervision Education and Experience * S. Degree in Computer Science or comparable experience * Strong knowledge of Linux and the command line interface * Exceptional SQL skills * Experience with logging/monitoring tools (AWS Cloudwatch, Splunk, ELK, etc.) * Familiarity with various online banking applications and understanding of third-party integrations is a plus * Effective written and verbal communication skills * Problem Solver - recognizes the need to resolve issues quickly and effectively, uses logic to solve problems; identifies problems and brings forward multiple solution options; knows who/when to involve appropriate people when troubleshooting issues * Communication; ability to use formal and informal written and/or verbal communication channels to inform others; articulates ideas and thoughts clearly both verbally and in writing * Dynamic and self-motivated; able to work on their own initiative and deliver the objectives required to maintain service levels * Strong attention to detail * Proficiency with raw data, analytics, or data reporting tools Nice to Have * Background in the Payments, Banking, E-Commerce, Finance and/or Utility industries * Experience with front end web interfaces (HTML5, Javascript, CSS3) * Cloud technologies (AWS, GCP, Azure) Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment such as laptop computers, photocopiers and smartphones. Physical Demands This role requires sitting or standing at a computer workstation. Position Type/Expected Hours of Work This is a full-time position. Days and hours of work are Monday through Friday, 40 hours a week. Occasional evening and weekend work may be required as job duties demand. Travel No travel required for this role. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. EEO Statement Paymentus is an equal opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, ancestry, citizenship status, religion, marital status, disability, military service or veteran status, genetic information, medical condition including medical characteristics, or any other classification protected by applicable federal, state, and local laws and ordinances. Our management is dedicated to ensuring the fulfillment of this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment. Reasonable Accommodation Paymentus recognizes and supports its obligation to endeavor to accommodate job applicants and employees with known physical or mental disabilities who are able to perform the essential functions of the position, with or without reasonable accommodation. Paymentus will endeavor to provide reasonable accommodations to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so would impose an undue hardship on the Company or pose a direct threat of substantial harm to the employee or others. An applicant or employee who believes he or she needs a reasonable accommodation of a disability should discuss the need for possible accommodation with the Human Resources Department, or his or her direct supervisor.

Job Description We are Compass Digital-the digital and technology arm of Compass Group North America. We build and scale digital products and technologies to exceed the expectations of our guests and clients. Backed by research, we create remarkable user experiences with increased choice and convenience. We offer end-to-end solutions, simultaneously boosting sales and guest satisfaction. Compass Digital was developed from within Compass Group, focusing on driving transformation and innovation in the hospitality spaces across Business & Industry, Education, and Healthcare. We power digital in the hospitality experience, ensuring that each touchpoint is optimized for guest satisfaction while leveraging data to achieve additional outcomes. We are fully integrated into Compass Group, proudly serving its' various clients through scalable, cutting-edge technologies and solutions. Job Summary: We're looking for a hands-on, collaborative Data Engineer to join our Data Services team. In this role you'll have the opportunity to build and troubleshoot ingestion pipelines for multiple sources of data. You will also work closely with our business intelligence and reporting solutions team to help develop valuable data models and visualizations for the business. We're currently leveraging AWS cloud and using a range of AWS services like S3, DynamoDB, Athena, Redshift, SQS, Lambda and Glue. However, we are migrating to Snowflake as our primary data warehouse platform for new projects and developing a new data pipeline architecture Responsibilities: · Work with data analysts to build pipelines for required projects and requests · Define, build, test, and implement scalable data pipelines using python and SQL · Monitor pipeline performance and efficiency · Troubleshoot data related issues including missing data, poor data quality, etc. · Collaborate with analytics and reporting teams to develop data models that feed business intelligence tools · Maintain code via CI/CD process as defined in our Azure DevOps platform Qualifications: · 3-5 year experience in a similar role · Good Communication and open to learning new skills · Bachelor's degree or equivalent in Computer Science, Computer Engineering, Information Systems or similar · Programming skills with Python, Spark (bonus) · Experience with Airflow or similar system. · Experience with public cloud provider (AWS prefer) · Knowledge of SQL, relational database concepts and SQL scripting · Experience with Docker, Kubernetes, Spark, Snowflake, CI/CD a bonus Apply to Compass Group today! Click here to Learn More about the Compass Story Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act. Compass Digital maintains a drug-free workplace. Applications are accepted on an ongoing basis. Associates at Corporate are offered many fantastic benefits. Medical Dental Vision Life Insurance/ AD Disability Insurance Retirement Plan Paid Time Off Holiday Time Off (varies by site/state) Associate Shopping Program Health and Wellness Programs Discount Marketplace Identity Theft Protection Pet Insurance Commuter Benefits Employee Assistance Program Flexible Spending Accounts (FSAs) Paid Parental Leave Personal Leave Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here or copy/paste the link below for paid time off benefits information. *********************************************************************************************** Req ID: 1496066 Compass Digital Bankston B Williams