Senior Data Warehouse Engineer

Steampunk; McLean (VA); On-site; USD 140,000 - 180,000; Full time

Job summary

An established industry player is on the lookout for a Senior Data Warehouse Engineer to enhance enterprise-grade data platforms. In this pivotal role, you will lead the migration of data environments, design robust data warehouse solutions, and optimize complex data pipelines. You will collaborate with a dynamic team in an Agile setting, ensuring high data quality and compliance through effective governance strategies. This innovative firm values your contributions and offers a competitive compensation package, making it an exciting opportunity for those looking to make a significant impact in the data engineering field.

Qualifications

• 5-7+ years of experience in data engineering or architecture.
• Proficiency in Python or other object-oriented languages.
• Experience with data governance and ETL processes.

Responsibilities

• Lead and architect migration of data environments for performance and scalability.
• Design and optimize data warehouse solutions and data pipelines.
• Collaborate with data scientists and business stakeholders in Agile environments.

Skills

Data Engineering

Data Warehousing

Python

Problem Solving

Communication Skills

Data Governance

SQL

Agile Methodologies

Cloud Computing

ETL Processes

Education

Bachelor's degree in Computer Science

Professional experience equivalent

Tools

Hadoop

Spark

Kafka

AWS

Databricks

Apache Airflow

SSIS

ADF

Job description

Overview

We are seeking a Senior Data Warehouse Engineer to join our team and work closely with clients to develop, optimize, and scale enterprise-grade data platforms, warehouses, and pipelines. We are looking for more than just a “Senior Data Warehouse Engineer,” but a highly skilled data technologist with strong communication and problem-solving abilities who thrives in cloud-based environments.

Contributions

Key Responsibilities:

• Lead and architect the migration of data environments with a focus on performance, reliability, and scalability.
• Design, implement, and optimize data warehouse solutions, ensuring best practices in data modeling, storage, and retrieval.
• Ability to examine and understand complex data pipelines.
• Assess, document, and analyze data sources, ETL workflows, and business intelligence tools.
• Address technical inquiries related to data warehouse customization, integration, and enterprise architecture.
• Develop and maintain robust data pipelines and ETL processes to support business intelligence and analytics.
• Design and enforce data governance strategies, ensuring high data quality and compliance.
• Work in an Agile development environment, collaborating with data scientists, engineers, and business stakeholders.
• Contribute to the growth of our Data Exploitation Practice by implementing cutting-edge data warehousing solutions.

Qualifications

Required Qualifications:

• Ability to hold a position of public trust with the US government.
• 5-7+ years of experience in data engineering, data warehousing, or data architecture.
• Proficiency in Python or other object-oriented languages such as Scala, Java, or C++.
• Experience designing and implementing data governance strategies.

Preferred Qualifications:

• Hands-on experience with big data tools such as Hadoop, Spark, and Kafka.
• Expertise in cloud-based data warehouse solutions, preferably AWS (Redshift, S3, RDS, Glue, Lambda).
• Experience with Databricks, PySpark, SparkSQL preferred.
• Experience with ETL tools (SSIS or ADF preferred), data pipeline orchestration, and workflow management tools such as Apache Airflow, Luigi, or AWS Step Functions.
• Experience designing data models, schema design, and entity-relationship diagrams.
• Strong knowledge of SQL and database optimization techniques (Preferably SQL Server. Alternatively, PostgreSQL, MySQL, Oracle).
• Bachelor's degree in Computer Science, Information Systems, Engineering, a related technical discipline, or professional experience equivalent.
• Demonstrated ability to lead large-scale data migration efforts.
• Ability to work in a DevSecOps environment, applying CI/CD best practices.

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 $140,000 to $180,000. 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.

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.

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.