Data analyst jobs in Missouri City, TX

One of our staffing partners is hiring for a Financial client who is seeking a Data Analyst Salary offered $55-70k per year Direct applicants only no c2c or company candidates due to low margins Responsibilities: Proficiency in SQL, Excel, and data visualization tools (Power BI, Tableau). Strong analytical and problem-solving skills. Prior experience in business intelligence or data-driven decision-making. Knowledge of Python/R for data manipulation is a plus. Experience with statistical analysis and reporting techniques. Analyze large, unstructured datasets to extract meaningful insights. Design and develop machine learning models to solve business problems. Strong programming skills in Python, R, or Scala. Collaborate with engineers and analysts to deploy data-driven solutions.

A Data Scientist supporting AI/ML and LLM-driven solutions to build, deploy, and optimize advanced models for operational decision-making. Day-to-Day Responsibilities: Design, train, and fine-tune machine learning, deep learning, and LLM models Collect, process, and analyze structured/unstructured datasets Engineer features to improve predictive model performance Develop NLP and LLM-based applications (prompt engineering, fine-tuning, inference) Deploy and monitor ML models using MLOps best practices Build dashboards and presentations to communicate insights Collaborate with stakeholders to translate data insights into business strategy Requirements: Must-Haves: Snowflake, SQL, Palantir (or similar operational AI decision platform) Strong AI/ML and LLM foundation Experience with NLP, deep learning, and predictive modeling Python proficiency and experience with PyTorch, TensorFlow, Hugging Face Strong SQL and data engineering skills AWS experience (SageMaker, S3, Redshift) and ML pipeline automation Nice-to-Haves: Graduate degree in a quantitative field Experience with Power BI, Dash, or Streamlit Benefits: This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility

ABOUT OUR CLIENT Our Client is a leading private equity firm driving growth and operational excellence across a diverse portfolio of companies. With a focus on digital transformation and value creation, the firm is committed to leveraging data as a strategic asset. This role offers the opportunity to lead data strategy at scale, influencing both portfolio company performance and overall investment outcomes. ABOUT THE ROLE The Data Management Leader will be responsible for shaping and executing enterprise-level data architecture, governance, and management strategies across portfolio companies. This is a high-impact, hybrid role that blends strategic vision with hands-on execution. Reporting to senior leadership, the position requires both technical depth and executive presence to implement robust data frameworks, optimize architecture, and enable data-driven decision-making. The ideal candidate brings a "doer" mentality and the ability to create measurable business value through data. RESPONSIBILITIES Define and execute a data management strategy aligned with portfolio growth and firm-wide objectives Lead cross-functional initiatives with data engineers, analysts, IT stakeholders, and business leaders Act as an advisor to portfolio companies on the adoption of modern data practices Define and implement scalable and secure data platforms aligned with best practices Oversee the development of big data solutions using tools such as Azure Synapse and Azure Databricks Manage structured and semi-structured datasets using Azure Data Lake, Avro, Parquet, and Delta tables Ensure efficient ingestion, curation, and integration processes across data environments Establish and enforce data governance frameworks using Microsoft Purview or Unity Catalog Develop KPIs to monitor data quality, ingestion, and consumption Implement secure self-service data access models for portfolio companies Lead the design and maintenance of ELT/ETL pipelines with Azure Data Factory, Databricks, or similar tools Manage an onshore/offshore team of data engineers, providing mentorship and conducting code reviews Oversee integration of external datasets, including public sources such as Enverus, IHS, and TGS Support visualization and insights through Power BI, Spotfire, and Plotly QUALIFICATIONS Ten or more years of experience in data management, architecture, or engineering for leadership roles; at least five years for senior-level roles Proven experience implementing scalable big data platforms with Azure Synapse, Databricks, or similar tools Strong expertise in data modeling, governance, and tools such as Microsoft Purview or Unity Catalog Proficiency in Python, R, SQL, and experience with REST APIs for data integration Hands-on experience with Azure Data Lake, Azure DevOps, and CI/CD pipelines Ability to manage structured and semi-structured datasets using modern file formats (Avro, Parquet) LEADERSHIP & COMMUNICATION Experience managing distributed teams across onshore and offshore environments Exceptional communication skills with the ability to translate technical solutions into business outcomes Proactive, results-driven, and execution-focused mindset PREFERRED QUALIFICATIONS Industry experience in energy, including exploration and production or energy transition and decarbonization Familiarity with MDM practices and external industry data sources EDUCATION Bachelor's, Master's, or PhD in Computer Science, Information Systems, or related field WHAT YOU WILL ACHIEVE Deliver scalable, secure, and impactful data solutions across a private equity portfolio Build a culture of data-driven decision-making across portfolio companies Establish yourself as a trusted leader in data strategy, creating measurable value through innovation and execution

PRIMARY RESPONSIBILITIES Duties to include but not limited to • Collaborate with Product Managers and stakeholders to define business goals, prioritize enhancements, and develop detailed project roadmaps. • Assess value, develop cases, and prioritize stories, epics and themes to ensure work focuses on those with maximum value that are aligned with product strategy. • Communicate and comprehend user business needs and concerns and integrate that understanding with technical skills. • Provide expertise in all aspects of requirements gathering and planning of CRM systems. • Provide backlog management, iteration planning, and elaboration of the user stories. • Ensure that the development team always has an adequate amount of prior prepared tasks to work on. • Create & maintain strong working relationships with other members of the delivery team and the wider organization so that the overall team operates professionally and is seen as delivering desired business outcomes. • Collaborate with team members to identify needs and opportunities for improvement. • Successfully multi-task across several concurrent projects. • Ability to lead projects by collaborating with the Project Manager and cross-functional teams to gather requirements, perform fit-gap analysis, develop user stories, conduct end-to-end testing, and ensure successful delivery. • Some travel both Domestic and International maybe required (depending on the Project) EDUCATION & EXPERIENCE QUALIFICATIONS • Minimum 3 to 5 years of hands-on experience with CRM systems like Microsoft Dynamics 365, or Salesforce. • Strong knowledge and understanding of Sales, Marketing, or Field Service Processes • Experience working with CPQ (Configure, Price, Quote) platforms (OCPQ, PROS) is highly desirable • Experience integrating CRM with ERP systems (JD Edwards or Oracle ERP Cloud, D365 F&O preferred) • Familiarity with Power BI or Snowflake or other analytics tools is an asset • Proven ability to translate business requirements into technical deliverables. • Prior experience in the Oil & Gas industry is highly desirable. • Excellent written and verbal communication skills.

Onsite, 5 days/week Downtown Houston (77002) 12-month W2 contract with Talent Groups | Contract-to-Hire We're seeking an early-career professional who excels in data-intensive environments and enjoys solving complex problems without a ready-made solution. This is a great opportunity to grow within a stable organization consistently recognized as one of Houston's best places to work. You'll collaborate with stakeholders across the business, including senior leadership. If you are curious, analytical, eager to learn, and excited to take on work that combines data analysis, technical problem-solving, and business collaboration, this role is a strong fit. What You'll Do As the Business Analyst for Environmental Systems, you will support critical environmental and emissions processes by analyzing data, improving business workflows, and helping deliver system enhancements. This is a hands-on role where you'll learn quickly, build relationships, and contribute to meaningful, high-visibility work. Key Responsibilities Partner with internal customers to support and enhance Environmental applications. Assist with emissions and environmental reporting for internal and external stakeholders. Analyze, design, and improve business processes and data flows. Gather, document, and validate business requirements. Participate in system configuration, testing, and change management activities. Ensure data integrity across solutions and support end users as needed. Design reports and assist with new features or system modifications. Work closely with technical teams, IS groups, and business units to resolve issues and deliver solutions. Build trust quickly and collaborate effectively across all levels of the organization. Who Thrives in This Role This opportunity is ideal for early-career professionals who: Enjoy digging into data and performing calculation-heavy analysis. Are comfortable working with SQL (and are motivated to master PL/SQL). Pay close attention to detail and naturally look for patterns, inconsistencies, or root causes. Are inquisitive, proactive learners who want to grow their technical and analytical skills. Communicate clearly and enjoy collaborating with both technical and business teams. Are self-motivated and energized by problem-solving. Required Technical Skills 1 - 3 years of experience in business analysis or a similar analytical role. Experience participating in full project lifecycles. Exposure to supporting technology solutions (testing, data integrity analysis, end-user support, documentation). Understanding of relational databases and data concepts. Strong SQL skills preferred; experience with PL/SQL or TOAD is a plus. Familiarity with requirements tools such as Jira and documentation in Word. Strong analytical, problem-solving, verbal, and written communication skills. Required Functional Skills Ability to quickly learn and understand complex business functions and data flows. Skilled at uncovering hidden requirements and translating business needs into clear specifications. Comfortable managing priorities, expectations, and change requests. Able to collaborate effectively with both technical teams and business stakeholders. Education Bachelors degree with a degree in Computer Science, Data Science/Analytics, Management Information Systems, Information Technology/Systems, Business, Environmental Science/Sustainability, or Engineering with a solid GPA

AI Analyst - Copilot Onsite - Central Houston Full-Time | Excellent Benefits | Long-Term Growth Opportunity Our client is seeking a forward-thinking AI Analyst/Architect to lead the design, deployment, and optimization of AI-driven solutions across their manufacturing organization. This role will focus on leveraging technologies such as custom GPTs, LLM-based tools, generative AI, and intelligent automation to streamline operations, enhance decision-making, and drive digital innovation. This is a highly visible position with the opportunity to directly shape the company's AI strategy and build impactful, real-world solutions. Qualifications Education / Certification Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field Equivalent industry experience may be considered in lieu of formal education Experience 2+ years working with AI/ML technologies, ideally including LLMs such as GPT Hands-on experience with OpenAI, Azure OpenAI, LangChain, or similar frameworks Strong understanding of prompt engineering, model fine-tuning, and API-based integration Experience deploying or customizing solutions within Microsoft Copilot Acumatica ERP experience is a plus Familiarity with Python, REST APIs, and cloud ecosystems (Azure preferred) Excellent communication, documentation, and project management skills Preferred Skills Experience with Power BI, Azure Cognitive Services, or Microsoft Copilot Studio Knowledge of AI governance, data privacy, and responsible AI practices Ability to clearly communicate technical concepts to non-technical stakeholders Major Responsibilities 1. AI Solution Development & Deployment Design, configure, and deploy custom GPTs and other AI/ML models tailored to business requirements Partner with business leaders to identify high-value use cases and translate them into production-ready AI solutions Lead prompt engineering, fine-tuning, and integration of LLMs into internal systems and applications 2. Copilot & Acumatica Integration Build and deploy AI tools that enhance productivity within Microsoft Copilot (Word, Excel, Teams, Outlook) Integrate generative AI capabilities into Acumatica ERP to automate tasks, streamline workflows, and improve data-driven insights 3. AI Strategy & Governance Establish and maintain best practices for responsible AI, including data governance, ethical use, and model transparency Monitor model performance and continuously iterate based on user feedback and system data 4. Cross-Functional Collaboration Work collaboratively with IT, R&D, training, and business units to ensure seamless integration of AI solutions Provide training, onboarding, and ongoing support to end users and internal teams 5. Research & Innovation Stay current on emerging AI/ML technologies, advancements in LLMs, and the evolving generative AI landscape Evaluate external AI tools, APIs, and platforms for potential adoption and integration Why This Role Is Exciting Opportunity to lead AI innovation for a well-established, industry-leading company Direct impact on digital transformation across multiple business functions Excellent benefits, long-term stability, and room for career advancement Onsite role in Central Houston with strong visibility and cross-functional involvement LOCAL CANDIDATES ONLY

Measurement Analyst (Production side, not I.T.) Full Time Houston, TX This role reports to a Measurement Supervisor and works on-site in Houston, Texas, with occasional travel to operational facilities. The position collaborates closely with multidisciplinary teams focused on measurement accuracy, data management, and continuous process improvement. You will partner with business unit teams, field personnel, and production accounting to ensure reliable and accurate volume data. Essential Duties and Responsibilities Run FLOWCAL exception resolver daily and address identified exceptions on a weekly basis Use historical data and analytical skills to estimate unrecoverable production data Maintain and evaluate facility balancing on a weekly and monthly basis Collaborate with production data management personnel to ensure consistent and accurate asset-wide production data Import and assess meter proving, meter calibration, and liquid/gas analysis data to ensure quality and compliance with contractual requirements Complete end-of-month close processes Create and track field measurement issues Deliver clear, concise, and timely communication regarding measurement and product validation activities Manage multiple projects simultaneously while meeting deadlines Requirements Skills and Experience Proficiency with Microsoft Office, including intermediate-level Excel skills Experience with FLOWCAL and related products Database and SQL experience; allocation experience preferred Experience with Spotfire Background in oil and gas production operations or measurement Basic understanding of gas and liquid measurement principles Education Requirements Minimum of a high school diploma or equivalent Bachelor's degree in Math, Accounting, Computer Science, IT, or Finance preferred Relevant experience may be considered in place of a degree Years of Experience Minimum of three (3) years of experience in E&P oil and gas production Travel Requirements Occasional travel to field locations within the business unit is required.

About the Role The Senior Data Engineer will play a critical role in building and scaling an enterprise data platform to enable analytics, reporting, and operational insights across the organization. This position requires deep expertise in Snowflake and cloud technologies (AWS or Azure), along with strong upstream oil & gas domain experience. The engineer will design and optimize data pipelines, enforce data governance and quality standards, and collaborate with cross-functional teams to deliver reliable, scalable data solutions. Key Responsibilities Data Architecture & Engineering Design, develop, and maintain scalable data pipelines using Snowflake, AWS/Azure, and modern data engineering tools. Implement ETL/ELT processes integrating data from upstream systems (SCADA, production accounting, drilling, completions, etc.). Architect data models supporting both operational reporting and advanced analytics. Establish and maintain frameworks for data quality, validation, and lineage to ensure enterprise data trust. Platform Development & Optimization Lead the build and optimization of Snowflake-based data warehouses for performance and cost efficiency. Design cloud-native data solutions leveraging AWS/Azure services (S3, Lambda, Azure Data Factory, Databricks). Manage large-scale time-series and operational data processing workflows. Implement strong security, access control, and governance practices. Technical Leadership & Innovation Mentor junior data engineers and provide technical leadership across the data platform team. Research and introduce new technologies to enhance platform scalability and automation. Build reusable frameworks, components, and utilities to streamline delivery. Support AI/ML initiatives by delivering production-ready, high-quality data pipelines. Business Partnership Collaborate with stakeholders across business units to translate requirements into technical solutions. Work with analysts and data scientists to enable self-service analytics and reporting. Ensure data integration supports regulatory and compliance reporting. Act as a bridge between business and technical teams to ensure alignment and impact. Qualifications & Experience Education Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Advanced degree or relevant certifications (SnowPro, AWS/Azure Data Engineer, Databricks) preferred. Experience 7+ years in data engineering roles, with at least 3 years on cloud data platforms. Proven expertise in Snowflake and at least one major cloud platform (AWS or Azure). Hands-on experience with upstream oil & gas data (wells, completions, SCADA, production, reserves, etc.). Demonstrated success delivering operational and analytical data pipelines. Technical Skills Advanced SQL and Python programming skills. Strong background in data modeling, ETL/ELT, cataloging, lineage, and data security. Familiarity with Airflow, Azure Data Factory, or similar orchestration tools. Experience with CI/CD, Git, and automated testing. Knowledge of BI tools such as Power BI, Spotfire, or Tableau. Understanding of AI/ML data preparation and integration.

Python Data Engineer - Houston, TX (Onsite Only) A global energy and commodities organization is seeking an experienced Python Data Engineer to expand and optimize data assets that support high-impact analytics. This role works closely with traders, analysts, researchers, and data scientists to translate business needs into scalable technical solutions. The position is fully onsite due to the collaborative, fast-paced nature of the work. MUST come from an Oil & Gas organization, prefer commodity trading firm. CANNOT do C2C. Key Responsibilities Build modular, reusable Python components to connect external data sources with internal tools and databases. Partner with business stakeholders to define data ingestion and access requirements. Translate business requirements into well-designed technical deliverables. Maintain and enhance the central Python codebase following established standards. Contribute to internal developer tools and ETL frameworks, helping standardize and consolidate core functionality. Collaborate with global engineering teams and participate in internal Python community initiatives. Qualifications 7+ years of professional Python development experience. Strong background in data engineering and pipeline development. Experience with web scraping tools (Requests, BeautifulSoup, Selenium). Hands-on Oracle/PL SQL development, including stored procedures. Strong grasp of object-oriented design, design patterns, and service-oriented architectures. Experience with Agile/Scrum, code reviews, version control, and issue tracking. Familiarity with scientific computing libraries (Pandas, NumPy). Excellent communication skills. Industry experience in energy or commodities preferred. Exposure to containerization (Docker, Kubernetes) is a plus.

We are seeking a Senior Data Architect to play a strategic, business-facing role in shaping how data is used across the organization. This role will be a key partner to Operations, Supply Chain, and Executive Leadership, helping the business fully leverage Power BI and Dynamics 365 F&O to drive insight, decision-making, and performance. The ideal candidate brings deep Supply Chain Management (SCM) knowledge, strong BI architecture expertise, and the ability to translate business questions into meaningful analytics. This is not a finance-centric role-the focus is on operational excellence, supply chain visibility, and business enablement. The business teams are relatively new to D365 F&O and Power BI, so the successful candidate will act as a guide, translator, and evangelist, helping users mature their analytical capabilities while setting a scalable BI foundation. Key Responsibilities Strategic & Business Partnership Act as the BI thought leader for the business, bridging the gap between operational teams, IT, and executive leadership Partner closely with Supply Chain, Manufacturing, Logistics, and Operations leaders to define meaningful KPIs and reporting needs Support C-suite reporting, turning complex data into clear, executive-level insights and narratives Help shape the BI roadmap and data strategy, aligned with business priorities and transformation initiatives Power BI & Analytics Enablement Lead the design, development, and governance of Power BI solutions across the organization Establish best practices for data models, semantic layers, dashboards, and self-service BI Drive adoption by coaching and enabling business users to effectively use Power BI Translate business questions into intuitive dashboards and actionable insights D365 F&O & Data Architecture Design and maintain a robust analytics architecture leveraging Dynamics 365 F&O data Develop deep understanding of SCM data domains: inventory, procurement, production, warehousing, demand planning, logistics Ensure data consistency, reliability, and scalability across reporting solutions Work with IT and partners on data pipelines, integrations, and performance optimization Leadership & Change Enablement Serve as a trusted advisor during BI and data-related initiatives Drive continuous improvement in how data is used to manage operations and performance Champion a data-driven culture across a business new to modern BI tools Required Experience & Skills Core Requirements 8+ years of experience in BI, data architecture, or analytics leadership roles Deep functional understanding of Supply Chain Management (SCM) in a manufacturing or industrial environment Strong experience with Power BI (data modeling, DAX, semantic models, governance) Hands-on experience working with Dynamics 365 Finance & Operations, particularly SCM modules Proven ability to work directly with senior business stakeholders and executives Business & Communication Skills Strong ability to translate business needs into technical BI solutions Comfortable educating and enabling non-technical users Executive-level communication and storytelling with data Pragmatic, business-first mindset (not overly technical or finance-driven) Nice to Have Experience with Azure Data Platform (Azure SQL, Synapse, Data Factory, Databricks) Experience designing enterprise KPI frameworks for operations and supply chain Background in organizations early in their Power BI or ERP maturity journey Exposure to data governance, master data, or analytics operating models

We are looking for a talented and motivated Python Data Engineers. We need help expanding our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs. What you will do: - Translate business requirements into technical deliveries. Drive out requirements for data ingestion and access - Maintain the cleanliness of our Python codebase, while adhering to existing designs and coding conventions as much as possible - Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality - Efficiently coordinate with the rest of our team in different locations Qualifications - 6+ years of enterprise-level coding experience with Python - Computer Science, MIS or related degree - Familiarity with Pandas and NumPy packages - Experience with Data Engineering and building data pipelines - Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. - Strong understating of object-oriented design, design patterns, SOA architectures - Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools. - Strong communication skills - Familiarity with containerization solutions like Docker and Kubernetes is a plus

Work Setting: Fully in office ***Commercial real estate and/or capital markets experience required The Transactional Analyst will support a busy Capital Markets team by assisting with the analysis, modeling, valuation, and execution of commercial real estate investment transactions. This role plays a key part in driving deal flow, supporting senior leadership, and delivering accurate, data driven insights for clients. This is a great opportunity for someone who thrives in a collaborative environment, enjoys financial modeling, and wants to grow within a high performing team. Key Responsibilities Support the Capital Markets team with research, analysis, modeling, and valuation of commercial real estate assets. Build detailed financial models using Excel and Argus. Prepare Broker Price Opinions for current and prospective clients. Track and maintain market rent and sales comparable data. Conduct market research and analyze investment properties. Research, compile, and organize comparable sales statistics. Manage outsourced lease abstracts and abstract select leases internally when needed. Assist with transaction activity from due diligence through closing. Support client presentations and listing efforts and maintain status reports for active assignments. Contribute research and written content for offering memorandums. Work closely with the Senior Analyst in the DTX office to support Capital Markets initiatives. Qualifications Bachelor's degree in Business, Economics, Finance, or a related field strongly preferred. Advanced technical skills including Excel with experience using Argus preferred. Experience with AI tools and VBA is a plus. Strong analytical ability with excellent attention to detail. Able to multitask efficiently while maintaining high accuracy and organization. Strong communication skills with a team oriented and positive mindset. High level of motivation with the ability to take guidance and apply feedback. Dedicated work ethic with an analytical and inquisitive approach. Other Information Stable and growing organization with strong internal tenure. Collaborative, team first culture with a growth oriented environment. Opportunity to build a strong partnership with the DTX Capital Markets team. Beautiful, modern, centrally located office in the Galleria area.

HI We are Hiring for Senior Databricks Data Engineer - Full-time Company: Sierra Digital inc ***************************** HOUSTON TX- onsite- 100% Fulltime role Senior Databricks Data Engineer - Role Overview A Senior Databricks Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and analytics solutions using Databricks (Apache Spark) on cloud platforms. 🔹 Core Responsibilities Design and develop end-to-end data pipelines using Databricks (Spark, PySpark, SQL) Build and manage Delta Lake architectures (Bronze-Silver-Gold layers) Optimize Spark jobs for performance, cost, and scalability Ingest data from multiple sources (APIs, RDBMS, streaming, files) Implement ETL/ELT processes using Databricks notebooks and workflows Work with large-scale structured and unstructured data Collaborate with data scientists, analysts, and business teams Ensure data quality, governance, and security best practices Support CI/CD and version control (Git, Azure DevOps, GitHub) 🔹 Technical Skills Required Databricks (core expertise) Apache Spark (PySpark, Spark SQL) Delta Lake Cloud platforms: Azure (ADLS, ADF, Synapse) AWS (S3, Glue, Redshift) GCP (BigQuery, GCS) SQL (advanced) and Python Data modeling & performance tuning Streaming frameworks (Kafka, Spark Structured Streaming - nice to have) 🔹 Experience Level 10+ years in data engineering 3-5+ years of hands-on Databricks/Spark experience Experience in cloud-native data platforms For more Details Reach me Bennedick Sakayaraj Email - ****************************** Web - ************************ Sierra Digital, Inc | 6001 Savoy Drive, Suite 210 | Houston, Texas 77036 Click here to view my LinkedIn

Staff Data Engineer - Houston, TX or US Remote A Series B funded startup who are building the infrastructure that powers how residential HVAC systems are monitored, maintained, and serviced are looking for a Staff Data Engineer to join their team. What will I be doing: Help architect and build the core data platform that powers the company's intelligence - from ingestion and transformation to serving and analytics Design and implement scalable data pipelines (batch and streaming) across diverse data sources including IoT sensors, operational databases, and external systems Work with high-performance database technologies Define foundational data models and abstractions that enable high-quality, consistent access for analytics, product, and ML workloads Collaborate with AI/ML, Product, and Software Engineering teams to enable data-driven decision-making and real-time intelligence Establish engineering best practices for data quality, observability, lineage, and governance Evaluate and integrate modern data technologies (e.g., Redshift, S3, Spark, Airflow, dbt, Kafka, Databricks, Snowflake, etc.) to evolve the platform's capabilities Mentor engineers across teams What are we looking for: 8+ years of experience as a software or data engineer, including ownership of large-scale data systems used for analytics or ML Deep expertise in building and maintaining data pipelines and ETL frameworks (Python, Spark, Airflow, dbt, etc.) Strong background in modern data infrastructure Proficiency with SQL and experience designing performant, maintainable data models Solid understanding of CI/CD, infrastructure-as-code, and observability best practices Experience enabling ML workflows and understanding of data needs across the model lifecycle Comfort working with cloud-native data platforms (AWS preferred) Strong software engineering fundamentals Excellent communicator What's in it for me: Competitive compensation up to $250,000 dependent on experience and location Foundational role as the first Staff Data Engineer Work hand-in-hand with the Head of Data to design and implement systems, pipelines, and abstractions that make us an AI-native company Apply now for immediate consideration!

Job Title: Python Data Engineer Experience & Skills 5+ years in Data Engineering with strong SQL and NoSQL database skills: Databases: Oracle, SQL Server, Postgres, DB2, Elasticsearch, MongoDB Advanced Python development and FastAPI microservices experience Application development experience implementing business logic via SQL stored procedures and NoSQL utilities Experience designing scalable and performant processes: Must provide metrics: transactions/day, largest DB table size, concurrent users, API response times Real-time interactive applications with UI-to-database communication: Must explain protocols and data formats used (e.g., JSON, REST, WebSockets) Experience using LLM models, coding agents, and testing agents: Provide specific examples of problem-solving Ability to handle support and development simultaneously: Detail daily split between support and development, ticketing system usage, or direct user interaction Bachelor's degree in Computer Science or relevant major Strong analytic skills, AI tool usage, multitasking, self-management, and direct collaboration with business users Not a Good Fit Experience limited to ETL / backend processes / data transfer between databases Experience only on cloud platforms (Azure, AWS, GCP) without SQL/NoSQL + Python expertise Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

I want to do 3 rounds of interviews: Teams virtual tech interview with senior developers Karat screening In person interview with managers and directors 5+ years of experience in data engineering, sql and nosql databases like oracle, sql server, postgres, db2, elastic, mongo db and advanced python skills. Advanced application development experience with implementing business logic utilizing SQL procedures and NOSQL utilities Experience with design and development of scalable and performant processes Expert in Python development and fast API microservices what IDEs and tools did they use to code and test? Development experience with real time user interactive applications and communicate between UI and database what protocols/data formats did they use to interact between db and UI

Our client is seeking an experienced Data Engineer (5+ years) to join their Big Data and Advanced Analytics team. In this role, you'll collaborate closely with the Data Science team and various business units to tackle real-world challenges in the oil and gas midstream sector using machine learning, AI, and data-driven solutions. You'll also play a key role in shaping and advancing the organization's data engineering practices. Job Description Design, build, test, and maintain scalable data pipelines Independently handle analytics projects across multiple business functions Automate manual data processes for efficiency and scalability Develop data-intensive applications and APIs Create algorithms that turn raw data into actionable insights Deploy and operationalize machine learning and mathematical models Support data analysts and data scientists by streamlining data processing and model deployment Ensure data accuracy and consistency through quality checks Skills Required 5+ years of professional IT experience, ideally in network security engineering Strong experience with: Python (Pandas, NumPy, Pytest, Scikit-Learn) SQL Apache Airflow Kubernetes CI/CD pipelines Git version control Test-Driven Development (TDD) API development Familiarity with machine learning concepts and applications Education/Certifications High School Diploma or GED GAS Global Services LLC is an Equal Opportunity Employer. Employment Decision are made without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factors protected by applicable federal, state or local laws. JOB-10045560

Must Haves: Strong proficiency in Python; 5+ years' experience. Expertise in Fast API and microservices architecture and coding Linking python based apps with sql and nosql db's Deployments on docker, Kubernetes and monitoring tools Experience with Automated testing and test-driven development Git source control, git actions, ci/cd , VS code and copilot Expertise in both on prem sql dbs (oracle, sql server, Postgres, db2) and no sql databases Working knowledge of data warehousing and ETL Able to explain the business functionality of the projects/applications they have worked on Ability to multi task and simultaneously work on multiple projects. NO CLOUD - they are on prem Day to Day: Insight Global is looking for a Python Data Engineer for one of our largest oil and gas clients in Downtown Houston, TX. This person will be responsible for building python-based relationships between back-end SQL and NoSQL databases, architecting and coding Fast API and Microservices, and performing testing on back-office applications. The ideal candidate will have experience developing applications utilizing python and microservices and implementing complex business functionality utilizing python.

About Client: They help in transforming the leading organizations and communities around the world. Organizations infrastructure and culture is amazing. Best place!! Job Title: Health Payer Technology Medicare Consultant Job Level: Senior Level Job Description: THIS IS WHAT YOU WILL DO... You will be adapting existing methods and procedure to create possible alternative solutions to moderate complex problems. You will design and implement solutions that are Medicare complaint. You will be understanding the strategic direction set by senior management as it relates to team goals. WE ARE LOOKING FOR SOMEONE.!! Who holds 4 years of experience as a consultant! Who holds consulting experience in US Healthcare Payer market! Who holds 2+ years' experience in US Payer operations & US Payer system implementations! Who is experienced in systems and processes required to support health plan! Who is currently in Medicare/ Medicaid! Who holds 2+ years Program management, full lifecycle project, SDLC, Agile, Waterfall, SCRUM experience! Who holds 2 years experience with Medicare systems and technologies with formal consulting! Qualifications Who holds 4 years of experience as a consultant! Who holds consulting experience in US Healthcare Payer market! Who holds 2+ years' experience in US Payer operations & US Payer system implementations! Additional Information All your information will be kept confidential according to EEO guidelines.