Data Engineer Jobs in Missouri, United States

Natera's Data Science Production Engineering (DSPE) department seeks a Manager of Data Engineering & Delivery (DED) to lead a team building data infrastructure, ETL pipelines, and data delivery/automation systems for ultra-large (up to PB) genomics datasets. Day-to-day work includes translating DSPE business needs into technical specifications and design documents, contributing to development, testing, deployment, validation, and maintenance of data products, enforcing compliance and quality pro

This DBA / Data Modeler / Data Engineer role supports a federal identity and access management environment, combining database administration, data modeling, and engineering to keep critical identity and PII data accurate, secure, and efficiently available. Day-to-day work includes designing conceptual, logical, and physical data models, maintaining source-to-target mappings and data dictionaries, building automated secure data-sharing processes, supporting analytics and fraud detection, and tun

Data Engineering team at American Association of Insurance Services builds and operates the Master Data Management platform supporting property and casualty insurance data. The MDM Data Engineer designs, develops, and maintains MDM architecture, data models, integration pipelines, and governance workflows, collaborating with data stewards and business stakeholders.

As a Senior Data Engineer (Data Architecture) at Wpromote, you will design, build, and evolve the data infrastructure powering Polaris, Wpromote’s proprietary technology platform. You will spend roughly 50–75% of your time on shared data products, platform capabilities, and data architecture, with the remainder on individual client pipelines, while partnering with Product, Data Engineering, and client teams to turn recurring client needs into reusable, scalable solutions.

AI & Data Platforms (AiDP) drives AI‑powered innovation within Apple’s IS&T organization, building scalable cloud‑native data platforms that enable analytics, reporting and production ML models. The Software Engineer designs, develops, tests and ships distributed data solutions, integrates open‑source tools with Apple’s ecosystem, and collaborates with internal customers to streamline their workflows.

Data Science & Engineering team at Game Plan Tech builds AI-driven supply chain solutions for government logistics. The role develops, validates, and deploys statistical and machine learning models, designs data pipelines integrating government systems, and productionizes models in secure cloud environments while briefing outcomes to senior government stakeholders.

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.

Business Data team at Zillow builds the industry data platform to power internal and external real‑estate use cases. As Director of Data Engineering you will lead and grow a team of engineers, design scalable pipelines with Spark, Airflow and Databricks, and translate product and GTM needs into robust data models and infrastructure.

The Senior Data Engineer (Data Architecture) designs, builds, and evolves data infrastructure for a proprietary technology platform, working at the intersection of data engineering, architecture, product development, and client solutions. Day-to-day work includes designing scalable pipelines and shared data products, translating business and client requirements into reliable technical solutions, identifying recurring patterns to build reusable models and configuration-driven frameworks, and stre

Coinbase's Markets team is building the future of institutional trading as part of the Everything Exchange, powering systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. As a Staff Data Engineer, Market Data, you will architect, build, and own the systems that generate, capture, normalize, and distribute real-time market data across Coinbase at low latency—the ticker plant and distribution backbone of a unified trading platform—while lead

D2AI team at Greystar builds the data foundation powering AI across the global real‑estate portfolio. The Senior Data Engineer designs, builds and operates scalable data pipelines, feature stores and AI‑ready data models, partnering with data science and product teams to deliver trustworthy data for ML workloads.

This Senior Data Engineer - ETL | Data Integration role is a pro-bono volunteer position based in the United States and performed remotely. You will take ownership of stabilizing and scaling production-grade ETL/ELT pipelines that ingest structured and unstructured data from third-party sources into a MySQL operational data warehouse using integrate.io. Day-to-day work includes designing CDC and incremental loading workflows, integrating external APIs, building dimensional models, and enforcing

Netflix’s Messaging Data Science & Engineering team builds the data and experimentation systems that determine who receives which message, when, and through which channel to drive engagement. As a Data Scientist 4, you will partner with Consumer Messaging Program teams to design rigorous A/B tests, apply causal inference techniques, and automate measurement frameworks for scalable insights.

Allstate Data Engineering team builds and maintains critical financial data solutions supporting reserving, claims, and enterprise decision-making. The Senior Data Engineer designs, develops, tests, and deploys enterprise data pipelines and reporting datasets using SQL, Python, PySpark, and Microsoft Fabric, while partnering with actuarial, accounting, and product teams to ensure data accuracy and scalability.

Enterprise Data Frameworks team at Citizens Financial Group builds scalable, high‑performance data processing systems using Java and Apache Spark. As a Senior Data Engineer, you design and implement distributed pipelines, develop Java microservices, and optimize Spark jobs for cloud and on‑prem environments.

The Core Platform Engineering team within Apple's AI & Data Platforms (AiDP) builds scalable data infrastructure to support generative AI and machine learning across products like Apple Pay and the App Store. This role involves designing and enhancing production-grade data pipelines and platforms that handle multi-petabyte scale data with low latency.

The Data Engineer, Data Platform builds and operates trusted data capabilities for AHEAD teams within a product-oriented engineering team under the Director, Data Platform. Day-to-day work includes developing ingestion pipelines, transformations, data models, and curated data products on a modern cloud data platform with an emphasis on Snowflake and dbt, while actively using AI throughout the software development lifecycle.

Data Stewardship team at Airbnb ensures compliance and high-quality data across the ecosystem, enabling data consumers to find the best data for their needs. The Senior Staff Data Engineer defines multi-year data governance vision, designs scalable data architectures for batch, real-time and AI-driven workloads, leads cross‑functional policy task forces, and mentors senior engineers.

The Apple Data Platform team, within the Services organization, powers analytics and machine learning across Apple by delivering reliable data ingestion, storage, processing, and interaction infrastructure. Within the Data Lakehouse team, you will lead the team, guide members' technical and professional growth, and collaborate cross-functionally to plan and execute technical projects that enhance the experience for Apple's internal customers.

Apple Services Engineering (ASE) team powers the App Store, Apple TV, Music, Podcasts and Books at massive scale. As an SRE on the Apple Data Platform you will operate and support big‑data services like Spark, Flink, Airflow and Trino, handle incident response and provide hands‑on support to internal engineers.