FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Senior Data Engineer
Resilient Co.Senior Data Engineer at Resilient Co. designing and building data pipelines.
Tech Stack
Tools & technologiesPythonSDLCSparkSQLUnityVault
About the role
Key responsibilities & impact- Design and build scalable data pipelines to ingest, transform, and curate data from APIs, databases, files, and event streams.
- Lead technical design reviews and translate complex business needs into enterprise-grade data solutions.
- Develop and optimize advanced data models (dimensional, data vault, domain-driven, canonical) to support analytics, BI, and productized datasets.
- Champion SDLC best practices, continuous delivery, and infrastructure automation using CI/CD and Infrastructure as Code.
- Optimize complex distributed workloads using SQL, Python; mentor others on tuning and scalable design patterns.
- Build reusable data frameworks, libraries, and reference architectures to accelerate team productivity and platform adoption.
- Perform root-cause analysis for major data incidents, lead long-term remediation, and drive operational reliability improvements.
- Provide technical mentorship, guide code reviews, and help shape engineering capability maturity.
- Collaborate with Architects, Data Leads, Product Owners, and cross-functional engineering teams to define long-term data strategies.
- Perform other duties as assigned.
Requirements
What you’ll need- 5 to 7+ years of experience in data engineering or a related technical field.
- Expertise in SQL and advanced proficiency in at least one programming language, Python preferred.
- Strong experience designing and tuning distributed data processing systems at scale.
- Proven experience designing and implementing complex data models across multiple business domains.
- Strong knowledge of version control, CI/CD, DevOps/DataOps, automated testing, and engineering best practices.
- Ability to lead cross-functional engineering initiatives and influence technical roadmaps.
- Strong problem-solving, debugging, and analytical skills in complex, multi-system environments.
- Extensive hands‑on experience building scalable pipelines and workflows in Databricks (Delta Lake, Spark, Unity Catalog, Jobs, Workflows).
Benefits
Comp & perks- Engagement Length: 12 months or more
- Time Zone: CST (9am - 5pm)
- Laptop: BYOD.
- Overtime Required: Very unlikely. In the unlikely event that they ask for some "on call" hours during the week the OT rate is 1.5x the regular rate
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data Pipeline DesignData ModelingDistributed Data ProcessingRoot-Cause AnalysisDebugging Skills
Soft Skills
Problem-SolvingAnalytical SkillsMentorship