919 spark airflow jobs at 447 companies in United States
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Apache Airflow Software Engineer
United States or Maryland
OnsiteFull Time
Gigatec: Providing systems engineering and software development services for defense.
Experience with Python and Java, Linux, Bash, Airflow, Spark, Docker, AWS; Git; TS clearance; polygraph required; authorized to work in the U.S.; no visa sponsorship.
Captivation Software: Provides specialized software engineering for the intelligence and defense communities.
3+ YOEU.S. citizen with current Top Secret/SCI and favorable Polygraph. Requires 3+ years SWE with master's, 5+ with bachelor's, or 7+ pure experience. Skills: Linux CLI, Bash, Python, Java, Apache Airflow, Apache Spark, containerization, and Git.
SOFTWARE ENGINEER - Apache Spark/Big Data - 7+ yrs of Experience - TS/SCI w/Poly clearance is required - ID
Fort George G Meade, Maryland, United States
$234k-$241k/yrOnsiteFull Time
Halogen Engineering Group: Provides specialized engineering, cybersecurity, and program management services.
7+ YOE7+ years of software development experience with TS/SCI w/Poly clearance; Apache Spark and Big Data experience; Linux, Python/Java, Airflow; SQL and data processing skills.
Site Reliability Engineer, AiDP Production Engineering
Austin, Texas, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Design and operate scalable, maintainable data-platform infrastructure using Kafka, Spark, Iceberg, and Airflow for on-premises and cloud environments.
BumbleNASDAQ: BMBL: Operates mobile applications for dating, friendship, and professional networking.
5+ YOE5–8 years of experience; production ML deployment; Python; PyTorch or TensorFlow; Spark or Airflow; experimentation and collaboration; responsible AI.
Lentech: Provides mission-critical IT and engineering solutions for government agencies.
4+ YOEActive TS/SCI with FSP, minimum four years software engineering experience (may substitute for degree), proficiency with AirFlow, Python, Spark, Trino, and Kubernetes.
Hard Rock Digital: Developer of online sportsbook and interactive gaming platforms.
10+ YOEDegree or equivalent (10+ years) and strong experience building automated data pipelines using SQL, dbt/Jinja, Snowflake, Airflow, Python, Spark and AWS.
Publicis GroupeEuronext Paris: PUB: Global advertising and digital transformation agency holding.
5+ YOE5+ years data engineering experience with ETL/ELT, Apache Spark/Databricks, SQL, Python, Airflow, CI/CD and experience with terabyte-to-petabyte datasets.
FanDuelNYSE: FLUT: Offers online sports betting and daily fantasy sports services.
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.
EtsyNASDAQ: ETSY: Connects buyers and sellers of unique and creative goods.
Experience building data/ML platform integrations; strong software engineering skills in Java/Scala/Python/SQL; experience with Spark, Kafka, Airflow, and cloud services.
Berkadia: Commercial real estate financing, investment sales, and servicing.
3+ YOEBachelor's in Information Systems or related and 3+ years experience with SSIS, NodeJS, Spark (Python), AirFlow, AWS, and SQL; experience with Event Sourcing/CQRS and data pipeline design.
CACINYSE: CACI: Provides information technology and professional services to government clients.
14+ YOETS/SCI with polygraph; BS in CS or related; 14 years SWE experience; 4 extra years in lieu of degree; proficiency in AirFlow, Python, Spark, Trino, Kubernetes.
United States or Washington or London or Singapore or Tokyo or Tel Aviv
$120k-$145k/yrRemoteFull Time
Sayari: Provides global corporate data and commercial intelligence software.
Proficiency in Python, Git, relational databases (PostgreSQL/BigQuery), Spark and Airflow; experience building and scaling large ETL pipelines; strong collaboration, autonomy, and Agile sprint delivery.
Fable Security: AI-driven platform managing human risk and employee security behavior.
3+ YOE3+ years in data infrastructure or platform engineering; strong real-time and batch processing knowledge; Spark, Kafka, dbt, Airflow; cloud (AWS/GCP); startup environment.