Senior Level Data Engineer Jobs
Senior level data engineer jobs put experienced engineers in charge of pipeline architecture, data platform strategy, and the cross-functional teams and projects that depend on them. Hiring is concentrated across Technology & Software, Consulting & Professional Services, and Electronics & Hardware, with 40% of openings remote or hybrid, and employers like Apple, Amazon, and Meta hiring at this level now.
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Role: Data Cloud Data 360 Conversion Engineer
Location: Philadelphia, PA (REMOTE)
Employment Type: Full-Time
Must Have Technical/Functional Skills
- 10+ years’ experience with Data 360 data migration and conversion tools.
- Salesforce Data Cloud (Data 360)
- Experience in HR technology platforms (like Workday, SAP, etc.)
- Strong experience with ETL tools
- Proven track record of data migration
- Strong understanding of data mapping, data quality, and validation methodologies.
- Successful implementations in prior years of experience
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Who's Hiring



Top Industries Hiring
- Technology & Software80
- Consulting & Professional Services17
- Electronics & Hardware12
- Banking & Financial Services11
- Retail8
Senior Level Data Engineer Jobs: Frequently Asked Questions
How do I get a senior level data engineer job?
Focus on demonstrating ownership, not just technical skill. Senior hiring managers want candidates who have designed data platforms end to end, made architectural decisions with real tradeoffs, and mentored junior engineers. A strong portfolio of work showing system-level thinking, experience with distributed systems at scale, and examples of cross-functional collaboration will set you apart from equally technical candidates who lack that leadership dimension.
Which companies hire senior level data engineers?
Companies hiring senior level data engineers right now include Apple, Amazon, and Meta, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large enterprises with mature data organizations, high-growth technology companies scaling their data infrastructure, and consulting firms staffing senior technical roles for client engagements.
Are there remote senior level data engineer jobs?
Yes, and remote availability is strong at this level. About 40% of senior level data engineer openings are remote or hybrid as of September 2026, reflecting how many companies hire distributed engineering talent once candidates have the experience to work autonomously. On-site roles do exist, typically tied to industries with strict data governance or on-premises infrastructure requirements.
What makes a data engineer role senior level?
Senior level data engineer roles are defined by scope, ownership, and leadership. Where a mid-level engineer executes within a defined system, a senior engineer owns the architecture, makes decisions about tooling and design patterns, and is accountable for platform reliability and scalability. Mentoring junior and mid-level engineers and influencing how the broader team works are expected, not optional, at this stage.
Which industries hire the most senior level data engineers?
Senior level data engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they operate at data volumes and regulatory complexities that require experienced engineers who can build and govern infrastructure, not just maintain it.