Data Engineer ETL responsible for AI model data cleaning and development. Leading projects in a hybrid work environment in Singapore.
About the role
- Data Engineer supporting Department of Defense programs by designing and maintaining scalable ETL pipelines. Collaborating with cross-functional teams and ensuring data integrity in analytics solutions.
Responsibilities
- Design, develop, and maintain scalable ETL pipelines to extract, transform, and load data from diverse sources.
- Build and optimize PostgreSQL relational database structures and ensure data integrity across systems.
- Develop and maintain data integration scripts and automation workflows using Python and SQLAlchemy.
- Implement pipeline automation and version control workflows using GitLab CI/CD.
- Collaborate with analysts, data scientists, and stakeholders to define data requirements and ensure timely, accurate delivery.
- Conduct performance tuning, data modeling, and query optimization to support analytics and visualization needs.
- Maintain compliance with DoD data security policies and handle classified data in accordance with clearance requirements.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, or a related field (or equivalent experience).
- Possess a current/or recent (within the last 12 months) U.S. Government Security Clearance/Department of Defense Clearance.
- 5+ years of professional experience in data engineering, analytics, or software development.
- Strong proficiency in Python, including libraries such as SQLAlchemy and Pandas.
- Experience working with ETL processes, PostgreSQL, and relational database design.
- Familiarity with GitLab for version control, CI/CD, and pipeline automation.
- Proven ability to work with cross-functional teams in a mission-driven environment.
- Ability to interface with customers from both a technical and programmatic context.
Benefits
- Flexible Working Hours
- 10 paid holidays
- generous Paid Time Off
- Employer Paid Medical, Dental, Vision and Short and Long Term Disability Insurance
- Access to group rating plans for Life Insurance
- Employer contribution to Health Savings Account
- Competitive 401K employer match
- A work environment and culture that fosters transparency, collaboration and well-being.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
EU Commercial Data Engineer developing scalable data solutions for Genmab’s commercial teams. Collaborating with cross - functional teams to enhance business insights and decision making through reliable data.
Principal Data Engineer designing and developing innovative data analytical solutions for the gaming industry. Leading and mentoring while engaging with clients to fulfill their data engineering needs.
Specialist, Data Engineering at CoverMyMeds enhancing and expanding data platforms for commercial data products. Collaborating with multiple teams to design scalable data solutions from various sources.
Team Lead in Data Engineering at Avanquest mentoring data engineering team and ensuring efficient data management across platforms. Collaborating with departments to align solutions and optimize workflows.
Data Architect at RSM leading AI - driven data migration initiatives within Salesforce ecosystem. Implementing data governance and optimizing performance across complex datasets.
Senior Data Engineer at Capgemini designing and optimizing scalable data architectures on Databricks and GCP. Collaborating across teams to transform business needs into reliable technical solutions.
Data Engineer transforming legacy on - premises systems to cloud - native architectures for advanced data analytics. Collaborating with teams to build efficient data solutions using Python and AWS.
Data Engineering Academy focused on Snowflake and Databricks for professionals interested in expanding their technical capabilities. Fully remote with future office work in Monterrey or Saltillo after completion.
Senior Data Engineer at Intent HQ designing and scaling data platforms. Building high - impact intelligence from millions of customer insights with a focus on performance and reliability.