Lead Data Engineer
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
High value due to competitive salary, significant career development opportunities, and the chance to influence data decision-making processes.
- Competitive salary: $140,000–$150,000/year
- Significant career advancement and mentoring opportunities
- Work remotely while impacting organizational data initiatives
Pros
- Attractive salary range ($140,000–$150,000/year) in the data engineering field
- Remote work option allows flexibility
- Opportunity to shape data initiatives within a large organization
Cons
- High experience requirements (10+ years) may limit candidate pool
- Intensive collaboration might be challenging for some individuals
- Potential for high-pressure environment
Who it's for
Senior / Lead • Remote
Good fit
- Seasoned data engineers ready to take a lead role
- Candidates excited about data governance and quality
- Individuals eager to mentor others in data practices
Not recommended for
- New entrants to data engineering field
- Those who prefer minimal team interactions
- Candidates not familiar with cloud technologies
Motivation fit
Key skills
About the job
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Build and implement scalable solutions that align to our data governance standards and architectural roadmap for data integrations, data storage, reporting, and analytic solutions.
• Design, develop and test data integration solutions. Write, automate and document unit/integration/functional tests.
• Manage automated deployments using Git pipelines, ensuring code changes are efficiently version-controlled and deployed.
• Collaborate with multiple teams to streamline deployment workflows, monitor and troubleshoot pipelines for reliability and performance.
• Perform data analysis required to troubleshoot data-related issues by building a data quality framework and assist in the resolution of data issues.
• Serve as tech lead by mentoring less experienced members of the team through code reviews, pair programming and similar hands-on interactions.
Requirements
- Education*: 4-year college degree or equivalent combination of education and experience. Prefer academic backgrounds in Computer Science, Engineering, Mathematics, or related technical field.
- 10 years of relevant work experience in data engineering, business intelligence or related field.
- Experience with a variety of database technologies and data warehouse schema design patterns (snowflake and star in particular).
- Experience with cloud-based databases, specifically AWS technologies (e.g., Redshift (preferred), RDS, S3, EC2, EKS, Zero ETL)
- Advanced experience using SQL queries as well as writing and optimizing SQL queries in a business environment with large-scale, complex datasets.
- Proficient in object-oriented programming ( Coding experience in Python is a required).
- Experience with DBT is preferred.
- Experience creating ETL and/or ELT jobs.
- Experience with Agile software development methodologies.
- Excellent problem solving and troubleshooting skills.
- Process oriented with great documentation skills.
- Experience with DevOps methodologies and tools (e.g., Git, Artifactory, etc.).
- Experience developing integrations across multiple systems and APIs is a plus.
🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.
Hard Skills
- data integration
- data modeling
- SQL
- Python
- ETL
- ELT
- DBT
- data warehouse schema design
- cloud-based databases
- data quality framework
Soft Skills
- problem solving
- troubleshooting
- mentoring
- collaboration
- documentation
- process oriented
