227 big data engineer jobs at 47 companies in Waldorf, MD
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Big Data Engineer - Python/Scala, Spark, Hadoop
Arlington or Arlington
$60k-$135k/yrHybridFull Time
WiproNYSE: WIT: Global technology services and consulting for digital transformation.
5+ YOERequires 5–8 years of experience, Python or Scala, Spark, Hadoop, Hive, Airflow, NiFi, Scoop, SQL, Cloudera, and production data pipeline development; Databricks or AWS experience is a plus.
Vantor: Providing AI-powered spatial intelligence and high-resolution Earth observation.
5+ YOEActive TS/SCI clearance required; 5+ years as data analyst/scientist; bachelor's degree or equivalent experience; strong data evaluation, data engineering, and communication skills; proficient with Python, SQL, Spark/PySpark; on-site in VA.
Steampunk: Provides digital transformation and IT consulting for federal agencies.
2+ YOEPublic Trust eligible, bachelor’s degree, 2+ years data engineering experience, skills in Python, AWS, big data tools, SQL/NoSQL, data pipelines, ETL, and data architecture.
NS2 Mission: Delivers secure data management and analytics for national security.
3+ YOE3+ years data engineering experience, strong Python and SQL skills, ETL and data integration experience, familiarity with Palantir and cloud/big-data tools, strong analytic and communication skills.
Steampunk: Federal digital transformation and consulting services provider.
2+ YOEBachelor's degree, 2+ years data engineering experience, Python and cloud (AWS/Azure/GCP), experience with big data tools, ETL, and building scalable data pipelines. Must hold Public Trust.
Resonate: AI-powered platform providing consumer intelligence and marketing data analytics.
5+ YOERequires 5+ years in software or data engineering, 3+ years with Spark and Scala, multi-terabyte or petabyte Spark tuning, relational databases, cloud big data stacks, testing, architecture, and production operations.
ManTech: Provides technology solutions for defense and intelligence agencies.
4+ YOE4+ years data engineering or software development experience; Python or Java and SQL proficiency; experience across full data lifecycle, ETL, RESTful APIs, Apache Airflow, and Big Data environments; active TS/SCI with poly required.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOEBachelor's degree, 4+ years application development, 2+ years big data, 1+ year cloud experience, proficiency in Java/Scala/Python and data engineering tools.
Capital OneNYSE: COF: A diversified financial services providing banking and credit products.
7+ YOEBachelor's degree, 7+ years in data engineering, 3+ years in data architecture, and 2+ years building AWS applications. Preferred: Python, SQL, Scala, data modeling, machine learning, and big data experience.
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
7+ YOEBachelor's degree, 7+ years in data engineering, 3+ years in data architecture, and 2+ years building AWS applications. Preferred Python, SQL, Scala, data modeling, ontology, machine learning, and big data experience.
Bespoke Technologies: Provides technical engineering and data solutions for national security.
Requires active TS/SCI clearance and experience with ETL, Python, graph and NoSQL databases, cloud architectures, big data, Kubernetes, Docker, CI/CD, security, and data pipelines.
Booz Allen HamiltonNYSE: BAH: Provides technology and management consulting services to diverse organizations.
SQL, Java, or Python and Spark; highly structured data; data modeling; Bachelor's degree; TS/SCI clearance with polygraph; experience with data pipelines and big data platforms.
Booz Allen HamiltonNYSE: BAH: Consulting and technology services for government and commercial clients
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.
Rockville or Washington or Tysons or Colorado or Florida or Texas or Illinois or Pennsylvania or Massachusetts or Maryland or Virginia or New York or New Jersey
$114k-$249k/yrHybridFull Time
FINRA: Regulates brokerage firms and exchange markets in the United States.
7+ YOEBachelor's in CS or related + 7+ years experience; deep Big Data (Hadoop, Spark, Hive, Trino), SQL, AWS (S3, EMR, Glue, Lambda, Athena, EKS), Python/Scala, system design, CI/CD, DevOps, security, and team mentoring experience.
RealmOne: Provides advanced technology services for national security agencies.
10+ YOERequires over 10 years of experience, a master's degree, active TS/SCI clearance, and expertise in data science, big data, analytics, programming, databases, and data governance.
Apache Ambari, MapReduce, Spark, Java, Zookeeper, Knox, IBM BigInsights, Apache Hadoop, SQL, RDBMS, Python, Big SQL, BigSheets, R, Text Analytics, GPFS, HDFS, Platform Symphony, POSIX, Yarn, Sqoop, Flume, JSON, XML, NoSQL, HBase, Pig, Hive, Oozie, Apache Solr, JSqsh, Data Server Manager, AQL, Neural Net
Data Engineer - PowerBI Developer - TS required to apply - NCR
Arlington, Virginia, United States
$135k-$142k/yrOnsiteFull Time
Bow Wave: Provides national security, intelligence, and IT services to government agencies.
7+ YOETop Secret clearance required; 7+ years database design and coding with big data; PowerBI development highly desirable; Bachelor's degree required; benefits include health, dental, life, STD, LTD.
GEICO: Provides vehicle and property insurance services to consumers.
3+ YOERequires 3+ years in analytics and SQL, programming language experience, source control or DevOps experience, cloud or big data exposure, and a BA/BS degree or equivalent experience.
Microsoft Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, Python, R, SAS, .NET, M, DAX, Snowflake, Hive, Spark, Hadoop, Azure, AWS, Tableau, DevOps
WalmartNYSE: WMT: Operates a chain of hypermarkets, discount stores, and grocery stores.
2+ YOEBachelor's degree plus 2 years of data assurance experience, or 4 years of data assurance experience. Requires SQL, relational databases, scalable data pipelines, ETL, orchestration, and cloud or big data platform familiarity.