
Production Programmer - Entry Level SQL Developer at Datalab USA (Germantown, MD)
Datalab USA· Germantown, MD· $65k–$75k·
Role details
Job description
DataLab USA™ is an analytics and technology driven database marketing consultancy. We combine sophisticated technology, cutting edge analytics and an intrinsic understanding of marketing to build large-scale addressable marketing programs for Fortune 500 companies. Our clients operate in multiple verticals: Financial Services, Insurance, Telcom, and Travel & Leisure.
We have placed in the INC 5000 list of fastest growing private companies for six times in the last ten years. At its heart, DataLab USA™ has the entrepreneurial spirit of a start-up. We judge ourselves on our ability to innovate, drive efficiency and deliver excellence for our clients
DataLab’s Marketing Technology Team is at the core of deploying value creation for our clients. Our technology team’s problem solving, and out of box thinking translate into positive ROI and success for our clients.
Production Programmer is an entry level position in the Marketing Technology department with a focus on learning fundamental skills and applying them to existing processes. Employees will largely be expected to learn by doing. They will execute, monitor and QC existing ETL, Reporting and Campaign processes thereby contributing to the team while developing an understanding of DataLab’s solution and how it serves to achieve client goals.
**No sponsorship offered for this position** **Candidates must be local to Germantown, MD**
Key Responsibilities
- Primary Responsibilities
- Monitor existing process execution to ensure completion
- Execute & review existing process QC reports
- Review wiki and other documentation to understand existing processes purpose and steps
- Update Wiki documentation to improve team documentation
- Review ETL QC reports and identify any data quality issues
- Run existing scripts to update DWH
- Perform QC to ensure proper execution and completeness of DWH
- Run existing scripts to generate client reports
- QC & review report providing feedback to internal customers & stakeholders
- Assist with minor modifications & enhancements to reports
- Save all work with careful documentation (for QC and future use)
- Run existing ETL data feeds and monitor for issues
- Responsibility Details
- Troubleshoot automated production tasks issues
- Automate existing production code
- Assist with development of ad-hoc reports
- Know all client file inputs for a campaign, understand which would be critical for campaign processing and how the fields within each file are used in the campaign and results reporting
- Setup new ETL scripts & QC for new client data feeds
- Know when client files are expected; notify team members if they do not come in
- Responsible for the movement of files and assets from FTP sites and/or emails to appropriate folders and notify appropriate team members
- Be able to use FTP, MoveIT, JIRA and navigate through Wiki
Required Skills & Qualifications
- Bachelor’s degree in Computer Science
- Work experience a plus
- Direct Marketing experience or knowledge a plus
- Certifications/Technical training are a plus
Job Skills
- Knowledge in SQL
- Microsoft Outlook, Word and Excel
Other Skills
- Strong attention to detail
- Ability to communicate clearly
- Self-motivated
- Strong interpersonal skills and ability to deal effectively in a team environment
Why work at Datalab USA
- Hybrid work options: Multiple open roles (Data Scientist, Marketing Campaign Analyst, HR/Recruiting Assistant) are listed as hybrid, offering flexibility.
- Two U.S. locations: Opportunities in Germantown, MD (HQ) and Westminster, CO, with on-site and hybrid setups.
- Active hiring across functions: Open roles as of the latest data include Data Scientist (2–5 years experience), Marketing Campaign Analyst, Account Manager – Client Services Database Marketing, and HR/Recruiting Assistant.
- Established, stable company: 25+ years in business, recognized on the Inc. 5000 list, offering a mature environment rather than a risky startup.
- Data-forward culture: Ideal for practitioners wanting hands-on exposure to large-scale consumer datasets (25,000+ attributes), FCRA/credit data, and production predictive models.
- Small-team atmosphere: 51–200 employees, which typically means broad ownership and cross-functional visibility.