Senior Database Engineer

• Support ingestion of spreadsheet and structured data sources into enterprise databases and applications
• Develop and maintain data transformation workflows including conversion of source data into JSON representations
• Validate, troubleshoot and optimize data ingestion and synchronization processes
• Support enterprise database operations and ensure integrity, availability and consistency of operational data; assist with integration of enterprise data into Pega workflows and applications
• Collaborate with software engineers, systems engineers and stakeholders to define data mappings, validation rules and integration requirements
• Support development and maintenance of reporting and downstream data consumption capabilities
• Monitor database performance and assist with troubleshooting operational issues

The ideal candidate will possess a blend of database engineering, data integration and automation experience with the ability to support structured data ingestion workflows, JSON-based transformations, validation processes and enterprise application integrations including Pega-based systems serving as systems of record. This role requires a proactive and technically confident engineer who is comfortable operating in fast-paced and occasionally ambiguous environments. Successful candidates demonstrate strong ownership, initiative and sound technical judgment while working within established architectural, security and operational frameworks. The ideal candidate is capable of independently driving tasks forward, identifying gaps or risks, proposing solutions and collaborating across technical teams without requiring continuous direction or oversight., * TS/SCI Clearance with polygraph

• Bachelor’s degree in a technical discipline and five (5) years of experience as a Database Engineer or related technical role; ten (10) years of experience may be substituted in lieu of a degree
• Experience working with relational databases and SQL-based technologies
• Experience supporting data ingestion, transformation or ETL-style workflows; experience working with structured data formats including JSON, CSV and Excel-based datasets
• Experience writing scripts or automation utilities using Python, PowerShell or similar scripting languages
• Experience troubleshooting data validation and operational data quality issues
• Ability to communicate effectively with both technical and non-technical stakeholders
• Must be able to work during core hours of M-F 10 am-2 pm; exceptions will be considered on a case-by-case basis, * Demonstrated ability to operate independently and take ownership of technical deliverables and operational outcomes
• Comfortable working in dynamic environments with evolving priorities, incomplete requirements and cross-team dependencies
• Proven ability to identify technical gaps, propose solutions and proactively drive work forward with minimal oversight
• Strong troubleshooting and analytical skills with the ability to navigate complex enterprise data environments
• Ability to balance independent execution with appropriate stakeholder coordination and escalation
• Strong organizational and communication skills with the ability to work effectively across engineering, operations and customer teams

• 8 weeks paid leave - 4 weeks personal leave, 3 happiness days, birthday day off, 11 paid holidays and optional leave up to 6 days through Belay’s volunteer program
• 10% matching in 401(k) contributions vested on day one
• $5,000 annual training/tuition
• Student Loan Repayment Program
• 100% company-funded HSA
• Rich medical coverage (100% coinsurance)
• Dental coverage including orthodontia
• Up to $420,000 in life insurance, premiums 100% company funded
• Amazon Prime, gym reimbursement, monthly lunches, games and prizes
• Pet adoption program, generous referral bonus, fun events

Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development.

Salary Range: $168,000 to $240,000