Senior data scientist jobs in Mesquite, TX

W2 Contract Dallas, TX (Onsite) We are seeking an experienced Data Scientist to join our team in Dallas, Texas. The ideal candidate will have a strong foundation in machine learning, data modeling, and statistical analysis, with the ability to transform complex datasets into clear, actionable insights that drive business impact. Key Responsibilities Develop, implement, and optimize machine learning models to support business objectives. Perform exploratory data analysis, feature engineering, and predictive modeling. Translate analytical findings into meaningful recommendations for technical and non-technical stakeholders. Collaborate with cross-functional teams to identify data-driven opportunities and improve decision-making. Build scalable data pipelines and maintain robust analytical workflows. Communicate insights through reports, dashboards, and data visualizations. Qualifications Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Proven experience working with machine learning algorithms and statistical modeling techniques. Proficiency in Python or R, along with hands-on experience using libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow. Strong SQL skills and familiarity with relational or NoSQL databases. Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib). Excellent problem-solving, communication, and collaboration skills.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a talented and analytical Data Scientist to join our team. The ideal candidate will leverage advanced data analysis, statistical modeling, and machine learning techniques to drive insights, optimize loan processes, improve risk assessment, and enhance customer experiences in mortgage and lending domains. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Dallas, TX is $110k - $120k/year & benefits (see below). The Role Responsibilities: Analyze large volumes of loan and mortgage data to identify key trends, patterns, and risk factors. Develop and implement predictive models for credit scoring, risk segmentation, loan default prediction, and fraud detection. Collaborate with product teams, underwriters, and risk managers to understand business requirements and translate them into analytical solutions. Build data pipelines and automate data ingestion, cleaning, and processing workflows related to loans and mortgage portfolios. Conduct feature engineering to improve model accuracy and robustness. Monitor model performance over time and recalibrate models as needed based on changing market conditions. Create dashboards and reports to communicate insights and support decision-making processes. Ensure data quality, integrity, and compliance with regulatory standards. Stay updated on industry trends, emerging techniques, and regulatory changes affecting mortgage and lending projects Requirements: Strong knowledge of mortgage products, loan lifecycle, credit risk, and underwriting processes. Experience with Kafka, Hadoop, Hive, or other big data tools. Familiarity with containerization (Docker) and orchestration (Kubernetes). Understanding of data security, privacy, and compliance standards. Knowledge of streaming data processing and real-time analytics. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Plano TX- Nearby candidates only W2 Candidates Must Have: 5+ years of experience with data modeling, warehousing, analysis & data profiling experience and ability to identify trends and anomalies in the data Experience on AWS technologies like S3, AWS Glue, EMR, and IAM roles/permissions Experience with one or more query language (e.g., SQL, PL/SQL, DDL, SparkSQL, Scala) Experience working with relational database such as Teradata and handling both structured and unstructured datasets Data Modeling tools (Any of - Erwin, Power Designer, ER Studio) Preferred / Ideal to have - Proficiency in Python Experience with NoSQL, non-relational databases / data stores (e.g., object storage, document or key-value stores, graph databases, column-family databases) Experience with Snowflake and Databricks

Oracle Data Modeler (Erwin) 6+ month contract (W2 ONLY - NO C-C) Downtown Dallas, TX (Onsite) Primary responsibilities of the Data Modeler include designing, developing, and maintaining enterprise-grade data models that support critical business initiatives, analytics, and operational systems. The ideal candidate is proficient in industry-standard data modeling tools (with hands-on expertise in Erwin Data Modeler) and has deep experience with Oracle databases. The candidate will also translate complex business requirements into robust, scalable, and normalized data models while ensuring alignment with data governance, performance, and integration standards. Responsibilities Design and develop conceptual, logical, and physical data models using Erwin Data Modeler (required). Generate, review, and optimize DDL (Data Definition Language) scripts for database objects (tables, views, indexes, constraints, partitions, etc.). Perform forward and reverse engineering of data models from existing Oracle and SQL Server databases. Collaborate with data architects, DBAs, ETL developers, and business stakeholders to gather and refine requirements. Ensure data models adhere to normalization standards (3NF/BCNF), data integrity, and referential integrity. Support dimensional modeling (star/snowflake schemas) for data warehousing and analytics use cases. Conduct model reviews, impact analysis, and version control using Erwin or comparable tools. Participate in data governance initiatives, including metadata management, naming standards, and lineage documentation. Optimize models for performance, scalability, and maintainability across large-scale environments. Assist in database migrations, schema comparisons, and synchronization between environments (Dev/QA/Prod). Assist in optimizing existing Data Solutions Follow Oncor's Data Governance Policy and Information Classification and Protection Policy. Participate in design reviews and take guidance from the Data Architecture team members. Qualifications 3+ years of hands-on data modeling experience in enterprise environments. Expert proficiency with Erwin Data Modeler (version 9.x or higher preferred) - including subject areas, model templates, and DDL generation. Advanced SQL skills and deep understanding of Oracle (11g/12c/19c/21c). Strong command of DDL - creating and modifying tables, indexes, constraints, sequences, synonyms, and materialized views. Solid grasp of database internals: indexing strategies, partitioning, clustering, and query execution plans. Experience with data modeling best practices: normalization, denormalization, surrogate keys, slowly changing dimensions (SCD), and data vault (a plus). Familiarity with version control (e.g., Git) and model comparison/diff tools. Excellent communication skills - ability to document models clearly and present to technical and non-technical audiences. Self-Motivated, with an ability to multi-task Capable of presenting to all levels of audiences Works well in a team environment Experience with Hadoop/MongoDB a plus Estimated Min Rate: $63.00 Estimated Max Rate: $90.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, 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. 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Title: Data Engineer Assignment Type: 6-12 month contract-to-hire Compensation: $65/hr-$75/hr W2 Work Model: Hybrid (4 days on-site, 1 day remote) Benefits: Medical, Dental, Vision, 401(k) What we need is someone who comes 8+ years of experience in the Data Engineering space who specializes in Microsoft Azure and Databricks. This person will be a part of multiple initiatives for the "New Development" and "Data Reporting" teams but will be primarily tasked with designing, building, maintaining, and automating their enterprise data architecture/pipelines within the cloud. Technology-wise we are needing to come with skills in Azure Databricks (5+ years), cloud-based environment (Azure and/or AWS), Azure DevOps (ADO), SQL (ETL, SSIS packages), and PySpark or Scala automation. Architecture experience in building pipelines, data modeling, data pipeline deployment, data mapping, etc. Top Skills: -8+ Years of Data Engineer/Business Intelligence -Databricks and Azure Data Factory *Most updated is Unity Catalog for Databricks* -Cloud-based environments (Azure or AWS) -Data Pipeline Architecture and CI/CD methodology -SQL -Automation (Python (PySpark), Scala)

Akkodis is seeking a Senior Data Architect for a Contract with a client located in Dallas, TX (Hybrid). Pay Range: $80/hr - $90/hr, The rate may be negotiable based on experience, education, geographic location, and other factors Must have Oracle Exadata, ETL, Informatica, Golden Gate, and MDM. Job Description: Primary responsibilities of the Senior Data Architect include designing and managing Data Architectural solutions for multiple environments, including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in an expert role and will work closely with Business, DBA, ETL, and Data Management teams, providing solutions for complex data-related initiatives. This individual will also be responsible for developing and managing Data Governance and Master Data Management solutions. This candidate must have good technical and communication skills coupled with the ability to mentor effectively. Responsibilities Establishing policies, procedures, and guidelines regarding all aspects of Data Governance Ensure data decisions are consistent and best practices are adhered to Ensure Data Standardization definitions, Data Dictionary, and Data Lineage are kept up to date and accessible Work with ETL, Replication, and DBA teams to determine best practices as it relates to data transformations, data movement, and derivations Work with support teams to ensure consistent and proactive support methodologies are in place for all aspects of data movements and data transformations Work with and mentor Data Architects and Data Analysts to ensure best practices are adhered to for database design and data management Assist in overall Architectural solutions, including, but not limited to, Data Warehouse, ODS, Data Replication/ETL Data Management initiatives Work with the business teams and Enterprise Architecture team to ensure the best architectural solutions from a Data perspective Create a strategic roadmap for MDM implementation Responsible for implementing a Master Data Management tool Establishing policies, procedures, and guidelines regarding all aspects of Master Data Management Ensure Architectural rules and design of the MDM process are documented, and best practices are adhered to Qualifications 5+ years of Data Architecture experience, including OLTP, Data Warehouse, and Big Data 5+ years of Solution Architecture experience 5+ years of MDM experience 5+ years of Data Governance experience, working knowledge of best practices Extensive working knowledge of all aspects of Data Movement and Processing, including Middleware, ETL, API, OLAP, and best practices for data tracking Good Communication skills Self-Motivated Capable of presenting to all levels of audiences Works well in a team environment If you are interested in this role, then please click APPLY NOW . For other opportunities available at Akkodis , or any questions, please contact Anirudh Srivastava at ************ or ***********************************. Equal Opportunity Employer/Veterans/Disabled Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ******************************************

We are seeking a highly experienced Senior Data Engineer with deep expertise in modern data engineering frameworks and cloud-native architectures, primarily on AWS. This role focuses on designing, building, and optimizing scalable data pipelines and distributed systems. You will collaborate cross-functionally to deliver secure, high-quality data solutions that drive business decisions. Key Responsibilities Design & Build: Develop and maintain scalable, highly available AWS-based data pipelines, specializing in EKS/ECS containerized workloads and services like Glue, EMR, and Lake Formation. Orchestration: Implement automated data ingestion, transformation, and workflow orchestration using Airflow, NiFi, and AWS Step Functions. Real-time: Architect and implement real-time streaming solutions with Kafka, MSK, and Flink. Data Lake & Storage: Architect secure S3 data storage and govern data lakes using Lake Formation and Glue Data Catalog. Optimization: Optimize distributed processing solutions (Databricks, Spark, Hadoop) and troubleshoot performance across cloud-native systems. Governance: Ensure robust data quality, security, and governance via IAM, Lake Formation controls, and automated validations. Mentorship: Mentor junior team members and foster technical excellence. Requirements Experience: 7+ years in data engineering; strong hands-on experience designing cloud data pipelines. AWS Expertise: Deep proficiency in EKS, ECS, S3, Lake Formation, Glue, EMR, IAM, and MSK. Core Tools: Strong experience with Kafka, Airflow, NiFi, Databricks, Spark, Hadoop, and Flink. Coding: Proficiency in Python, Scala, or Java for building data pipelines and automation. Databases: Strong SQL skills and experience with relational/NoSQL databases (e.g., Redshift, DynamoDB). Cloud-Native Skills: Strong knowledge of Kubernetes, containerization, and CI/CD pipelines. Education: Bachelor's degree in Computer Science or related field.

About Us Longbridge Securities, founded in March 2019 and headquartered in Singapore, is a next-generation online brokerage platform. Established by a team of seasoned finance professionals and technical experts from leading global firms, we are committed to advancing financial technology innovation. Our mission is to empower every investor by offering enhanced financial opportunities. What You'll Do As part of our global expansion, we're seeking a Data Engineer to design and build batch/real-time data warehouses and maintain data platforms that power trading and research for the US market. You'll work on data pipelines, APIs, storage systems, and quality monitoring to ensure reliable, scalable, and efficient data services. Responsibilities: Design and build batch/real-time data warehouses to support the US market growth Develop efficient ETL pipelines to optimize data processing performance and ensure data quality/stability Build a unified data middleware layer to reduce business data development costs and improve service reusability Collaborate with business teams to identify core metrics and data requirements, delivering actionable data solutions Discover data insights through collaboration with the business owner Maintain and develop enterprise data platforms for the US market Qualifications 7+ years of data engineering experience with a proven track record in data platform/data warehouse projects Proficient in Hadoop ecosystem (Hive, Kafka, Spark, Flink), Trino, SQL, and at least one programming language (Python/Java/Scala) Solid understanding of data warehouse modeling (dimensional modeling, star/snowflake schemas) and ETL performance optimization Familiarity with AWS/cloud platforms and experience with Docker, Kubernetes Experience with open-source data platform development, familiar with at least one relational database (MySQL/PostgreSQL) Strong cross-department collaboration skills to translate business requirements into technical solutions Bachelor's degree or higher in Computer Science, Data Science, Statistics, or related fields Comfortable working in a fast-moving fintech/tech startup environment Qualifications 7+ years of data engineering experience with a proven track record in data platform/data warehouse projects Proficient in Hadoop ecosystem (Hive, Kafka, Spark, Flink), Trino, SQL, and at least one programming language (Python/Java/Scala) Solid understanding of data warehouse modeling (dimensional modeling, star/snowflake schemas) and ETL performance optimization Familiarity with AWS/cloud platforms and experience with Docker, Kubernetes Experience with open-source data platform development, familiar with at least one relational database (MySQL/PostgreSQL) Strong cross-department collaboration skills to translate business requirements into technical solutions Bachelor's degree or higher in Computer Science, Data Science, Statistics, or related fields Comfortable working in a fast-moving fintech/tech startup environment Proficiency in Mandarin and English at the business communication level for international team collaboration Bonus Point: Experience with DolphinScheduler and SeaTunnel is a plus

Trinity Industries is searching for a Sr. Data Engineer to join our Data Analytics team in Dallas, TX! The successful candidate will work with the Trinity Rail teams to develop and maintain data pipelines in Azure utilizing Databricks, Python and SQL. Join our team today and be a part of Delivering Goods for the Good of All! What you'll do: Facilitate technical design of complex data sourcing, transformation and aggregation logic, ensuring business analytics requirements are met Work with leadership to prioritize business and information needs Engage with product and app development teams to gather requirements, and create technical requirements Utilize and implement data engineering best practices and coding strategies Be responsible for data ingress into storage What you'll need: Bachelor's Degree Computer Science, Information Management, or related field required; Masters preferred 8+ years in data engineering including prior experience in data transformation Databricks experience building data pipelines using the medallion architecture, bronze to gold Advanced skills in Spark and structured streaming, SQL, Python Technical expertise regarding data models, database design/development, data mining and other segmentation techniques Experience with data conversion, interface and report development Experience working with IOT and/or geospatial data in a cloud environment (Azure) Adept at queries, report writing and presenting findings Prior experience coding utilizing repositories and multiple coding environments Must possess effective communication skills, both verbal and written Strong organizational, time management and multi-tasking skills Experience with data conversion, interface and report development Adept at queries, report writing and presenting findings Process improvement and automation a plus Nice to have: Databricks Data Engineering Associate or Professional Certification > 2023

Now Hiring: Senior Data Engineer (GCP / Big Data / ETL) Duration: 6 Months (Possible Extension) We're seeking an experienced Senior Data Engineer with deep expertise in Data Warehousing, ETL, Big Data, and modern GCP-based data pipelines. This role is ideal for someone who thrives in cross-functional environments and can architect, optimize, and scale enterprise-level data solutions on the cloud. Must-Have Skills (Non-Negotiable) 9+ years in Data Engineering & Data Warehousing 9+ years hands-on ETL experience (Informatica, DataStage, etc.) 9+ years working with Teradata 3+ years hands-on GCP and BigQuery Experience with Dataflow, Pub/Sub, Cloud Storage, and modern GCP data pipelines Strong background in query optimization, data structures, metadata & workload management Experience delivering microservices-based data solutions Proficiency in Big Data & cloud architecture 3+ years with SQL & NoSQL 3+ years with Python or similar scripting languages 3+ years with Docker, Kubernetes, CI/CD for data pipelines Expertise in deploying & scaling apps in containerized environments (K8s) Strong communication, analytical thinking, and ability to collaborate across technical & non-technical teams Familiarity with AGILE/SDLC methodologies Key Responsibilities Build, enhance, and optimize modern data pipelines on GCP Implement scalable ETL frameworks, data structures, and workflow dependency management Architect and tune BigQuery datasets, queries, and storage layers Collaborate with cross-functional teams to define data requirements and support business objectives Lead efforts in containerized deployments, CI/CD integrations, and performance optimization Drive clarity in project goals, timelines, and deliverables during Agile planning sessions 📩 Interested? Apply now or DM us to explore this opportunity! You can share resumes at ********************* OR Call us on *****************

Minimum 7 years of relevant work experience in data engineering, with at least 2 years in a data modeling. Strong technical foundation in Python, SQL, and experience with cloud platforms (Azure,). Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies. Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI). Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.

Bachelor s degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics. Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling. Strong technical foundation in Python, SQL, and experience with cloud platforms (for example, AWS, Azure,). Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies. Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI). Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment. Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences. ADDITIONAL SKILLS AND OTHER REQUIREMENTS Nice to have skill set include: Agile experience Dataiku Power BI

Job Title: Data Engineer(python, pyspark, databricks) Data Engineer with strong proficiency in SQL, Python, and PySpark to support high-performance data pipelines and analytics initiatives. This role will focus on scalable data processing, transformation, and integration efforts that enable business insights, regulatory compliance, and operational efficiency. Data Engineer - SQL, Python and Pyspark Expert (Onsite - Dallas, TX) Key Responsibilities Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale data environments Implement scalable data processing workflows in distributed data platforms (e.g., Hadoop, Databricks, or Spark environments) Partner with business stakeholders to understand and model mortgage lifecycle data (origination, underwriting, servicing, foreclosure, etc.) Create and maintain data marts, views, and reusable data components to support downstream reporting and analytics Ensure data quality, consistency, security, and lineage across all stages of data processing Assist in data migration and modernization efforts to cloud-based data warehouses (e.g., Snowflake, Azure Synapse, GCP BigQuery) Document data flows, logic, and transformation rules Troubleshoot performance and quality issues in batch and real-time pipelines Support compliance-related reporting (e.g., HMDA, CFPB) Required Qualifications 6+ years of experience in data engineering or data development Advanced expertise in SQL (joins, CTEs, optimization, partitioning, etc.) Strong hands-on skills in Python for scripting, data wrangling, and automation Proficient in PySpark for building distributed data pipelines and processing large volumes of structured/unstructured data Experience working with mortgage banking data sets and domain knowledge is highly preferred Strong understanding of data modeling (dimensional, normalized, star schema) Experience with cloud-based platforms (e.g., Azure Databricks, AWS EMR, GCP Dataproc) Familiarity with ETL tools, orchestration frameworks (e.g., Airflow, ADF, dbt)

W2 Contract to Hire Role with Monthly Travel to the Dallas Texas area We are looking for a highly skilled and independent Data Engineer to support our analytics and data science teams, as well as external client data needs. This role involves writing and optimizing complex SQL queries, generating client-specific data extracts, and building scalable ETL pipelines using Azure Data Factory. The ideal candidate will have a strong foundation in data engineering, with a collaborative mindset and the ability to work across teams and systems. Duties/Responsibilities:Develop and optimize complex SQL queries to support internal analytics and external client data requests. Generate custom data lists and extracts based on client specifications and business rules. Design, build, and maintain efficient ETL pipelines using Azure Data Factory. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions. Work with Salesforce data; familiarity with SOQL is preferred but not required. Support Power BI reporting through basic data modeling and integration. Assist in implementing MLOps practices for model deployment and monitoring. Use Python for data manipulation, automation, and integration tasks. Ensure data quality, consistency, and security across all workflows and systems. Required Skills/Abilities/Attributes: 5+ years of experience in data engineering or a related field. Strong proficiency in SQL, including query optimization and performance tuning. Experience with Azure Data Factory, with git repository and pipeline deployment. Ability to translate client requirements into accurate and timely data outputs. Working knowledge of Python for data-related tasks. Strong problem-solving skills and ability to work independently. Excellent communication and documentation skills. Preferred Skills/ExperiencePrevious knowledge of building pipelines for ML models. Extensive experience creating/managing stored procedures and functions in MS SQL Server 2+ years of experience in cloud architecture (Azure, AWS, etc) Experience with ‘code management' systems (Azure Devops) 2+ years of reporting design and management (PowerBI Preferred) Ability to influence others through the articulation of ideas, concepts, benefits, etc. Education and Experience: Bachelor's degree in a computer science field or applicable business experience. Minimum 3 years of experience in a Data Engineering role Healthcare experience preferred. Physical Requirements:Prolonged periods sitting at a desk and working on a computer. Ability to lift 20 lbs.

Junior Data Engineer DESCRIPTION: BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for candidates who are good communicators and self-motivated. You will play a key role in building, maintaining, and operating integrations, reporting pipelines, and data transformation systems. Qualifications: Passion for data and a deep desire to learn. Master's Degree in Computer Science/Information Technology, Data Analytics/Data Science, or related discipline. Intermediate Python. Experience in data processing is a plus. (Numpy, Pandas, etc) Experience with relational databases (SQL Server, Oracle, MySQL, etc.) Strong written and verbal communication skills. Ability to work both independently and as part of a team. Responsibilities: Collaborate with the analytics team to find reliable data solutions to meet the business needs. Design and implement scalable ETL or ELT processes to support the business demand for data. Perform data extraction, manipulation, and production from database tables. Build utilities, user-defined functions, and frameworks to better enable data flow patterns. Build and incorporate automated unit tests, participate in integration testing efforts. Work with teams to resolve operational & performance issues. Work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to. Compensation: $65,000.00 to $80,000.00 /year BeaconFire is an e-verified company. Work visa sponsorship is available.

IDR is seeking a Data Engineer to join one of our top clients for an opportunity in Coppell, TX. This role involves designing, building, and maintaining enterprise-grade data architectures, with a focus on cloud-based data engineering, analytics, and machine learning applications. The company operates within the technology and data services industry, providing innovative solutions to large-scale clients. Position Overview for the Data Engineer: Develop and maintain scalable data pipelines utilizing Databricks and Azure environments Design data models and optimize ETL/ELT processes for large datasets Collaborate with cross-functional teams to implement data solutions supporting analytics, BI, and ML projects Ensure data quality, availability, and performance across enterprise systems Automate workflows and implement CI/CD pipelines to improve data deployment processes Requirements for the Data Engineer: 8-10 years of experience on modern data platforms with a strong background in cloud-based data engineering Strong expertise in Databricks (PySpark/Scala, Delta Lake, Unity Catalog) Hands-on experience with Azure (AWS/GCP also acceptable IF Super strong in Databricks) Advanced SQL skills and strong experience with data modeling, ETL/ELT development and data orchestration Experience with CI/CD (Azure DevOps, GitHub Actions, Terraform, etc.) What's in it for you? Competitive compensation package Full Benefits; Medical, Vision, Dental, and more! Opportunity to get in with an industry leading organization. Why IDR? 25+ Years of Proven Industry Experience in 4 major markets Employee Stock Ownership Program Dedicated Engagement Manager who is committed to you and your success. Medical, Dental, Vision, and Life Insurance ClearlyRated's Best of Staffing Client and Talent Award winner 12 years in a row.

Job Title: Snowflake Data Engineering with AWS, Python and PySpark Duration: 12 months Required Skills & Experience: 10+ years of experience in data engineering and data integration roles. Experts working with snowflake ecosystem integrated with AWS services & PySpark. 8+ years of Core Data engineering skills - Handson on experience with Snowflake ecosystem + AWS experience, Core SQL, Snowflake, Python Programming. 5+ years Handson experience in building new data pipeline frameworks with AWS, Snowflake, Python and able to explore new ingestion frame works. Handson with Snowflake architecture, Virtual Warehouses, Storage, and Caching, Snow pipe, Streams, Tasks, and Stages. Experience with cloud platforms (AWS, Azure, or GCP) and integration with Snowflake. Snowflake SQL and Stored Procedures (JavaScript or Python-based). Proficient in Python for data ingestion, transformation, and automation. Solid understanding of data warehousing concepts (ETL, ELT, data modeling, star/snowflake schema). Hands-on with orchestration tools (Airflow, dbt, Azure Data Factory, or similar). Proficiency in SQL and performance tuning. Familiar with Git-based version control, CI/CD pipelines, and DevOps best practices. Strong communication skills and ability to collaborate in agile teams.

Infosys is seeking a Google Cloud (GCP) data engineer with experience in Github and python. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel in the US 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. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time At least 4 years of Information Technology experience. Experience working with technologies like - GCP with data engineering - data flow / air flow, pub sub/ kafta, data proc/Hadoop, Big Query. ETL development experience with strong SQL background such as Python/R, Scala, Java, Hive, Spark, Kafka Strong knowledge on Python Program development to build reusable frameworks, enhance existing frameworks. Application build experience with core GCP Services like Dataproc, GKE, Composer, Deep understanding GCP IAM & Github. Must have done IAM set up Knowledge on CICD pipeline using Terraform in Git. Preferred Qualifications: Good knowledge on Google Big Query, using advance SQL programing techniques to build Big Query Data sets in Ingestion and Transformation layer. Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data Knowledge on Airflow Dag creation, execution, and monitoring. Good understanding of Agile software development frameworks Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams. Experience and desire to work in a global delivery environment.

Job Title: GCP Data Engineer Employment Type: W2/CTH Client: Direct We are seeking a highly skilled Data Engineer with strong expertise in Python, SQL, and Google Cloud Platform (GCP) services. The ideal candidate will have 6-8 years of hands-on experience in building and maintaining scalable data pipelines, working with APIs, and leveraging GCP tools such as BigQuery, Cloud Composer, and Dataflow. Core Responsibilities: • Design, build, and maintain scalable data pipelines to support analytics and business operations. • Develop and optimize ETL processes for structured and unstructured data. • Work with BigQuery, Cloud Composer, and other GCP services to manage data workflows. • Collaborate with data analysts and business teams to ensure data availability and quality. • Integrate data from multiple sources using APIs and custom scripts. • Monitor and troubleshoot pipeline performance and reliability. Technical Skills: o Strong proficiency in Python and SQL. o Experience with data pipeline development and ETL frameworks. • GCP Expertise: o Hands-on experience with BigQuery, Cloud Composer, and Dataflow. • Additional Requirements: o Familiarity with workflow orchestration tools and cloud-based data architecture. o Strong problem-solving and analytical skills. o Excellent communication and collaboration abilities.