
Steampunk is anchored by a startup culture with a customer-centered delivery approach, we put our Federal government clients in the center of everything we design, develop, and deliver to drive…

Steampunk is anchored by a startup culture with a customer-centered delivery approach, we put our Federal government clients in the center of everything we design, develop, and deliver to drive…
Headquarters: McLean, Virginia (Tysons Corner)
Business: Employee-owned federal technology and design contractor focused on human-centered design
Employee count: 703
Industry: IT Services and IT Consulting
Government technology modernization and mission-driven user experience design
IT Services and IT Consulting
Public profiles record a non-equity assistance entry naming AcceliCITY as a funder.
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We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions
Qualifications
About Steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $110,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company , we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com .
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.
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Ability to hold a position of public trust with the US government.
Bachelor’s Degree and 6+ years of total experience or equivalent experience and education.
6+ years direct experience in Data Engineering with experience in tools such as:
Big data tools: Hadoop, Spark, Kafka, etc.
Relational SQL and NoSQL databases, including Postgres and Cassandra.
Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
AWS cloud services: EC2, S3, RDS, Glue, Step Functions, Lamda, EMR, DynamoDB, DocumentDB, Redshift, Aurora, Athena
Data Platforms: Databricks, Snowflake
Data streaming systems: Kafka, Storm, Spark-Streaming, etc.
Languages: Python, R, Scala, Go
Ability to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks.
Advanced working SQL knowledge and experience working with relational databases
Advanced working knowledge and of NoSQL databases
Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores.
Experience manipulating, processing, and extracting value from large, disconnected datasets.
Experience manipulating structured and unstructured data for analysis.
Experience with data modeling tools and processes.
Experience aggregating and transforming data from multiple datasets to create data products
Experience working in an Agile environment