Data Engineer Jobs in Missouri, United States

Enterprise Data Engineering team at Esri builds mission‑critical geospatial data platforms for Defense and Intelligence customers. The Technical Consultant designs and implements scalable, secure database solutions, collaborates across functional groups to deploy and tune high‑availability environments, and automates data workflows to ensure reliable geospatial information delivery.

Senior Data Engineer – Real-Time Data & Visualization Focus at Highmark Health and Allegheny Health Network. Remote U.S. position requiring U.S. citizenship.

Analytics Data Engineering team at Highmark Health builds cloud-native data pipelines and analytical assets to turn diverse healthcare data into actionable insights. The Senior Analytic Data Engineer designs, develops, and optimizes GCP‑based data workflows, curates datasets, and partners with stakeholders to deliver scalable data products.

Professional Services team at Esri designs and delivers mission‑critical geospatial data platforms for national security. The System Engineer architects, deploys, and optimizes enterprise data environments, implementing secure, scalable database solutions across cloud, on‑premises, and hybrid infrastructures.

DPaAS team within Finance IT builds modern data platforms in AWS and Databricks to deliver reliable, production-ready data solutions. The role designs scalable pipelines, monitors performance, troubleshoots incidents, partners with stakeholders, and automates processes in a hybrid environment across Austin, Denver, St. Louis, Bloomington, Morris Plains, Plano, and Bloomfield, CT.

Senior Software Engineer/Data Engineer at Mastercard will design and build secure, high‑performance data pipelines in a cloud‑native environment. Working with Java, Snowflake, Azure Data Factory, and CI/CD tools, the role focuses on ETL/ELT processes, data modeling, and real‑time analytics for merchants, issuers, and partners.

Accenture Federal Services seeks a Data Engineer to build efficient data pipelines, design scalable architectures, and implement ETL processes for cloud migration. The role requires a strong background in cloud ETL services, Python, SQL, Spark, and data quality orchestration, along with an active Secret Security clearance.

Barry-Wehmiller’s Data Engineer role in St. Louis focuses on building and maintaining cloud data infrastructure using Azure services such as SQL Database, Data Lakes, Synapse Analytics, and Spark. The engineer designs scalable pipelines, automates data integrations from on‑prem and SaaS sources, and implements data quality, security, and resilience checks.

Sun Life Financial Data Engineering team supports the organization’s data ecosystem, handling ETL, reporting and data lake processes. The Data Engineer monitors and troubleshoots ETL jobs, creates new reports, and provides on‑call support in a rotation.

Data and AI Practice at CleanSlate Technology Group builds modern data platforms and pipelines that enable analytics, machine learning, and AI workloads. As a Data Engineer you will design, develop, and maintain data integration, transformation, and orchestration solutions while collaborating with client stakeholders and delivery teams.

Equifax seeks a seasoned Data Engineer to advance its data platform, integrating AI capabilities and building scalable pipelines. The role involves designing batch and streaming workflows, leveraging GCP services such as BigQuery, DataFlow, Pub/Sub, and Vertex AI, and employing Airflow or Cloud Composer for orchestration.

Design, build, and maintain robust data pipelines for CRE forecasting across the Americas. Automate model workflows, ensure data integrity, and collaborate with economists, analytics leads, and cross‑functional teams to deliver production‑ready solutions.

Equifax seeks a Data Engineer to advance its data platform and AI initiatives. The role focuses on building batch and streaming pipelines, designing scalable data frameworks, and integrating AI tools to streamline data workflows.

Data Engineer at Equifax’s Data and Analytics team builds complex batch and streaming pipelines to ingest data from upstream Equifax cloud systems, designs scalable data pipelines for AI/ML applications, and leverages AI-powered coding assistants and LLM prompts to accelerate development. The role requires 5+ years in data engineering, GCP experience with BigQuery, DataFlow, Pub/Sub, Airflow, and Python, and a Bachelor’s in CS or related field.

Data Engineer III at SAIF builds and maintains the enterprise Data Lake, designing pipelines that extract, transform, and load data from diverse sources into Snowflake and Azure data warehouses. The role leads a small team, automates data validation, and collaborates with analysts and scientists to deliver actionable insights.

The Data Engineer at First American Title builds scalable ETL/ELT pipelines and big data solutions using Python, PySpark, and Databricks to support advanced analytics across the organization. The role designs and maintains data integration workflows, graph database solutions, and CI/CD pipelines, collaborating with developers, data scientists, and stakeholders to deliver secure, high‑performance data platforms.

Data Engineer on the Highmark Health data platform, building and maintaining robust data pipelines and warehouses to support analytics across healthcare operations. The role designs data models, implements governance, and collaborates with IT, product, and analytics teams to ensure data quality and compliance.

Copeland, a global climate tech company, seeks a Data Engineer to build and maintain data pipelines, warehouses, and analytical tools across HVACR and cold chain solutions. Responsibilities include developing ETL/ELT processes, optimizing data storage, collaborating with stakeholders, simplifying designs, managing delivery timelines, and troubleshooting operational issues.

Senior Data Engineer on the MMA National IT Team builds scalable Azure data pipelines using Databricks, ADF, and Spark. The role designs and optimizes data models, orchestrates batch and real‑time workflows, and supports AI/ML workloads on Databricks.

Mastercard Data Engineering team builds scalable data platforms and pipelines that power advanced analytics and machine learning across payments. The Senior Data Engineer designs, builds, and optimizes data lakes, integration workflows, and modeling solutions, leads architecture discussions, and mentors engineers.