Lead Data Engineer (Contract)

ZipRecruiter; Los Angeles (CA); Remote; USD 80,000 - 100,000; Full time

Job summary

An established industry player is seeking a Lead Data Engineer to drive the design and optimization of scalable data pipelines. This pivotal role involves building modern cloud-based data infrastructure and ensuring data governance and quality standards. You will collaborate with architects and analysts to develop robust enterprise data models and mentor junior engineers. The company offers remote work opportunities and flexible hours, making it an exciting chance for seasoned professionals to make a significant impact in a dynamic environment. If you are passionate about data engineering and ready to lead, this is the perfect opportunity for you.

Benefits

Remote Work Opportunities

Flexible Work Hours

Professional Development Opportunities

Qualifications

• 10+ years of experience in data engineering and integration.
• Expertise in Snowflake, SQL, and Informatica is required.

Responsibilities

• Design and optimize scalable ETL/ELT pipelines using modern tools.
• Collaborate with stakeholders to translate requirements into solutions.

Skills

Data Engineering

SQL

Python

ETL/ELT Patterns

Data Governance

Problem-Solving

Education

Bachelor's Degree in Computer Science or related field

Tools

Snowflake

Informatica

GitHub

JIRA

AWS

Azure

Job description

Job Description

About us:

Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.

The Role:

We are looking for a Lead Data Engineer to spearhead the design, development, and optimization of scalable data pipelines and enterprise data solutions. This hands-on leadership role will focus on building modern cloud-based data infrastructure and driving best practices in data integration, transformation, and performance across the organization.

Key Responsibilities:

• Design, build, and optimize scalable ETL/ELT pipelines using modern data engineering tools and frameworks (full/incremental and CDC).
• Develop and maintain robust enterprise data models by integrating data from internal and third-party sources.
• Collaborate with architects, analysts, and business stakeholders to translate requirements into technical solutions.
• Ensure the performance, scalability, and reliability of data platforms and systems.
• Implement and enforce data governance, quality, and security standards.
• Drive automation and operational efficiency across data workflows and platforms.
• Participate in code reviews, document solutions, and contribute to continuous integration and deployment (CI/CD) practices.
• Mentor junior engineers and contribute to a high-performing data engineering culture.

Essential Knowledge, Skills, and Abilities:

• 10+ years of experience in data engineering and integration.
• 5+ years in data warehousing (Kimball methodology).
• Expertise in Snowflake, SQL, and Informatica (required).
• Strong programming skills in Python and familiarity with REST/SOAP APIs.
• Solid understanding of ETL/ELT patterns and data pipeline orchestration.
• Experience working with enterprise platforms such as Salesforce, SAP Commerce Cloud, or NetSuite.
• Hands-on experience with GitHub, JIRA, and Agile methodologies.
• Cloud experience with AWS and/or Azure ecosystems.
• Exposure to Master Data Management (MDM) implementations.
• Strong problem-solving skills and attention to detail.

Nice to Have Skills:

• Experience with infrastructure as code (Terraform), containerization, or DevOps practices.
• Snowflake SnowPro Core and/or SnowPro Data Engineer certifications.
• Experience with data cataloging, data lineage, and metadata management tools.

What We Offer:

• Remote Work Opportunities
• Flexible Work Hours
• Professional Development Opportunities

Expected Compensation:

• $90-125 per hour

*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR.