Steampunk

Change is here....Anchored by a startup culture and human-centered delivery approach, Steampunk puts our Federal government clients in the center of everything we design, develop, and deliver to drive game changing mission impacts and user experience.

steampunk.com

Steampunk

steampunk.com

HQUS

Team Size390

Open Jobs69

Total Funding-

Latest FundraiseUnknown

TL;DR

Industry: Information Technology / Consulting (Federal government focus)

Headquarters: Washington, District of Columbia, United States

Founded: circa 2019

Approx. employees: 251-500 (public profiles list ~390)

Funding signal: No public external investors or funding rounds listed on searched profiles

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Company Overview

Problem Domain

Modernizing government IT systems and improving user-centered mission delivery.

Founded

2019

Industry

Information Technology / Consulting

Funding Track Record

Funding

Founders

What we do

Join the Team

Data Engineer - Databricks

On-SiteMcLean, VA, US

On-Site • McLean, VA, US

Overview:

We are looking for seasoned a Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for more than just a "Data Engineer", we are looking for a technologist with excellent communication and customer service skills and a passion for data and problem solving.

Contributions:

Lead and architect migrations of data using Databricks with focus on performance, reliability, and scalability.
Assess and understand ETL jobs, workflows, data marts, BI tools, and reports
Address technical inquiries concerning customization, integration, enterprise architecture and general feature/functionality of data products
Experience working with database/data warehouse/data mart solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
Key must have skill sets – Databricks, SQL, PySpark/Python, AWS
Support an Agile software development lifecycle
You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications:

Required

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.

2-4 years industry experience coding commercial software and a passion for solving complex problems.

2-4 years direct experience in Data Engineering with experience in tools such as:

Big data tools: Databricks, Apache Spark, Delta Lake, etc.
Relational SQL (Preferably T-SQL. Alternatively pgSQL, MySQL).
Data pipeline and workflow management tools: Databricks Workflows, Airflow, Step Functions, etc.
AWS cloud services: Databricks on AWS, S3, EC2, RDS (or Azure equivalents).
Object-oriented/object function scripting languages: PySpark/Python, Java, C++, Scala, etc.
Experience working with Data Lakehouse architecture and Delta Lake/Apache Iceberg.

Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.

Experience manipulating, processing, and extracting value from large, disconnected datasets.

Ability to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks.

Experience manipulating structured and unstructured data.

Experience architecting data systems (transactional and warehouses).

Experience the SDLC, CI/CD, and operating in dev/test/prod environments.

Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus.

Commitment to data governance.

Experience working in an Agile environment.

Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models.