CapTech Consulting is looking for a Lead Data Engineer to deliver cloud-based data engineering solutions as a trusted advisor to clients. You will design, implement, and maintain modern data pipelines using cloud technologies to enable decision-makers and support data scientists and analysts.
What You'll Do
- Serve as a trusted advisor to customers, providing best practices, methodologies, and technologies to implement data engineering solutions.
- Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies.
- Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution.
- Provide technical leadership and collaborate within and across teams to ensure the overall technical solution is aligned with customer needs.
- Stay current with the latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to key stakeholders.
What We're Looking For
- 5+ years of experience delivering data engineering solutions on a cloud platform.
- 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP).
- Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion).
- Experience with cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks.
- 5+ years of experience with SQL or NoSQL databases (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery).
- Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs).
- 5+ years of experience with at least one programming language (Python, Java, R, C / C# / C++, Shell).
- Familiarity with one or more DevOps tools (git, Jenkins, CI/CD, Jira).
- Fundamental understanding of big data, open source, and data streaming concepts.
- Ability to think strategically and provide recommendations utilizing traditional and modern architectural components based on business needs.
- Experience providing technical leadership and mentoring other engineers in the data engineering space.
- Experience building/operating highly available distributed systems of data extraction, ingestion, and processing of large data sets.
Nice to Have
- Cloud certification on any platform is a plus.
Technical Stack
- Cloud Platforms: AWS, Azure, GCP
- ETL/Orchestration: Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion
- Data Warehousing/Lakes: Snowflake, Redshift, Databricks
- Databases: PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery
- Languages: Python, Java, R, C / C# / C++, Shell
- DevOps: git, Jenkins, CI/CD, Jira
Team & Environment
You will collaborate within and across teams to deliver solutions.
Benefits & Compensation
- Compensation: $150,000 - $200,000
- Customizable career progression.
- Generous PTO.
- Health, disability, and paid family leave coverage.
- Learning & Development programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths.
- Modern Health mental health and well-being platform.
- Carrot Fertility inclusive fertility and family-forming coverage.
- Fringe company paid stipend program for personalized lifestyle benefits.
- Employee Resource Groups.
- Philanthropic partnerships.
- 401(k) Matching with generous matching and no vesting period.
Work Mode
This is a remote position open to candidates in the United States.
CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness.






