2,443 spark data engineer jobs at 856 companies in United States
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Spark Data Engineer, Senior
Chantilly, Virginia, United States
$78k-$176k/yrOnsiteFull Time
Booz Allen HamiltonNYSE: BAH: Global firm providing management, technology, and engineering consulting services.
5+ YOE5+ years Spark (PySpark or Java) and enterprise-scale data engineering experience, ETL and big data pipeline building, experience with distributed tools (Spark, AWS, Kafka), TS/SCI clearance with polygraph, bachelor\u0002s degree.
Booz Allen HamiltonNYSE: BAH: Global firm providing management, technology, and engineering consulting services.
5+ YOE5+ years Spark (PySpark or Java) and big-data ETL experience, experience with distributed tools (AWS,Kafka), TS/SCI with polygraph required, bachelor’s degree.
Techsa: Private software development serving businesses with industrial IoT, digital transformation, analytics, and sustainability solutions.
7+ YOERequires 7+ years in data engineering and software development, strong Java/Scala, Python, Apache Spark, SQL, distributed systems, data platforms, containers, orchestration, and analytical data technologies.
InfosysNYSE: INFY: Global leader in next-generation digital services and consulting.
Bachelor's degree or foreign equivalent, or progressive specialty experience in lieu of education. Requires Python, Spark, AWS, SDLC experience, coding, software integration, testing, and US work authorization without sponsorship.
CGITSX: GIB.A: Global IT consulting and business services firm.
5+ YOE5+ years in big data development with hands-on Kafka, Spark, Hadoop, Impala, strong Java/Scala/Python skills, SQL proficiency, and experience in Agile teams.
Capital OneNYSE: COF: A technology-driven bank providing diverse financial services.
4+ YOEBachelor's degree, 4+ years of application development, 2+ years of big data experience, and 1+ year of cloud computing experience; Python, Scala, Java, SQL, and data tools preferred.
WiproNYSE: WIT: Global information technology, consulting, and business process services.
3+ YOE3–5 years of experience building data pipelines and production data applications using Python or Scala, Spark, Hadoop, SQL, and related data tools; Cloudera Hadoop is mandatory.
HAVI: Private global supply chain management serving food, retail, quick-service restaurant, and food-service brands.
3+ YOE3+ years data engineering with Spark on cloud, hands-on Azure Databricks (PySpark/Scala, Spark SQL, Delta Lake), Azure Data Factory, strong SQL, data quality tooling (Great Expectations/Deequ), IaC (Terraform/Bicep), CI/CD and DevOps for data.
Lead Data Engineer (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI)
McLean or New York City or Richmond
$179k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: A technology-driven bank providing diverse financial services.
4+ YOEBachelor's degree, 4+ years application development, 2+ years big data, 1+ year cloud (AWS/Azure/GCP); experience with Python, SQL, Spark, data modeling, and cloud data platforms.
Amalgamated Bank: Socially responsible commercial bank serving nonprofits, labor unions, advocacy groups, businesses, and individuals through banking and investment services.
2+ YOEBachelor's degree or equivalent experience; 2+ years of data engineering experience preferred, with Databricks, SQL, Python, Spark, Azure, ETL, and data architecture expertise.
StellantisNYSE: STLA: Global automotive manufacturer and provider of innovative mobility solutions.
8+ YOEBachelor's degree in a related field and 8 years of data engineering experience. Requires SQL, ETL/ELT, cloud data platforms, Python or Spark, data modeling, analytical, and collaboration skills.
Bedrock Robotics: Autonomous construction technology that retrofits heavy equipment into autonomous machines for general contractors.
5+ YOE5+ years data engineering experience in large-scale data lake/warehouse environments; strong SQL and distributed query engine experience; pipeline orchestration (Airflow/Prefect) and Spark/Databricks experience; data quality and observability expertise.
StellantisNYSE: STLA: Global automotive manufacturer and provider of innovative mobility solutions.
8+ YOEBachelor’s degree in a relevant field and 8 years of data engineering experience. Requires SQL, ETL/ELT, cloud data platforms, Python or Spark, data modeling, and strong analytical and collaboration skills.
Capital OneNYSE: COF: A technology-driven bank providing diverse financial services.
4+ YOEBachelor's degree, 4+ years in application development, 2+ years with big data technologies, and 1+ year with cloud computing required; preferred experience includes Python, Scala, Java, SQL, distributed systems, streaming, and data warehousing.
ManTech International: Advancing the future of defense through innovative technology.
7+ YOE7+ years data engineering experience; expertise in distributed processing (Spark), ETL/ELT, SQL and Python; Azure ecosystem experience; data governance and preparing data for AI/ML; TS/SCI clearance required.
Wolfe: Private Pittsburgh fintech providing personalized digital and physical gift cards to businesses and consumers.
2+ YOERequires 2–4 years of data engineering experience, production pipeline expertise, strong SQL, Python and/or Spark, Airflow or dbt, AWS data services, cloud warehouses, dimensional modeling, and data governance knowledge.
Rad AI: Healthcare AI software helping radiologists automate reporting and patient follow-up while reducing documentation burden.
5+ YOE5+ years data engineering experience; expertise building distributed data pipelines (Spark), AWS (Amazon EMR, AWS Batch), Metaflow, SQL/NoSQL, Docker, Kubernetes; strong data infrastructure, validation, monitoring, and productionization skills.
Tebra: Private healthcare software serving independent practices with EHR, billing, scheduling, and patient-experience tools.
3+ YOE3+ years data or software engineering experience, 2+ years building production data pipelines; strong Python and SQL; experience with Spark, Airflow, Kafka, Databricks, Snowflake, or Delta Lake; familiarity with data modeling, governance, and MLOps.
FanDuel: American sports-tech gaming offering sports betting, daily fantasy, horse racing, casino, and sports media to fans.
3+ YOE3+ years in data or software engineering with strong SQL, Python/Java/Scala, Databricks, Airflow, dbt, Spark, Kafka, and cloud (AWS/GCP/Azure) experience.