Lead Data Engineer

Jobot; Salt Lake City (UT); Remote; USD 150,000 - 190,000; Full time

Job summary

A leading company in the financial services industry is seeking a Lead Data Engineer to join their remote team. The role involves designing and implementing data pipelines, collaborating with various teams, and driving innovation in data engineering. Ideal candidates will have extensive experience with data platforms and cloud solutions, and a passion for solving complex data problems. This full-time position offers a competitive salary of $150,000 to $190,000 per year, along with benefits.

Qualifications

• 5+ years of experience in data engineering roles.
• Experience with large-scale data platforms and cloud environments.

Responsibilities

• Lead the design and implementation of end-to-end data pipelines.
• Collaborate with data scientists and stakeholders to develop data solutions.
• Ensure robust testing and monitoring of all data systems.

Skills

Problem Solving

Tools

Apache Airflow

Docker

SQL

Azure

Snowflake

DBT

SSIS

Job description

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Base pay range

$150,000.00/yr - $190,000.00/yr

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Job details

Remote - Lead Data Engineer - up to $190K base - join a team building systems to make data-driven business decisions

This Jobot Job is hosted by Chuck Wirtz.

Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

Salary $150,000 - $190,000 per year

About Us

Our client, in the financial services industry, is seeking a Lead Data Engineer to join their team. This is a full-time, direct hire, remote role that offers a base salary of $150-190K plus benefits, depending on experience.

Why join us?

This role is ideal for someone who thrives in a dynamic, fast-paced environment, enjoys solving complex data problems, and is passionate about driving innovation in data engineering. If you're looking to make an impact on the financial landscape with cutting-edge data solutions, this could be for you!

Core Responsibilities

• Lead the design and implementation of end-to-end data pipelines, from extraction (API, scraping, pyodbc) to cleansing/transformation (Python, TSQL) and loading into SQL databases or data lakes.
• Oversee the development of robust data architectures that support efficient querying and analytics, ensuring high-performance and scalable data workflows.
• Collaborate with data scientists, software developers, business intelligence teams, and stakeholders to develop and deploy data solutions that meet business needs.
• Ensure smooth coordination between engineering and other teams to translate business requirements into technical solutions.
• Guide the development of data models and business schemas, ensuring they are optimized for relational (3NF) and dimensional (Kimball) architectures.
• Lead the creation of scalable, reliable data models and optimize them for performance and usability.
• Develop and maintain infrastructure for large-scale data solutions, leveraging cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker).
• Lead the use of modern data platforms such as Snowflake and Fabric, ensuring their effective use in large-scale data solutions.
• Manage and optimize data pipelines using tools like Apache Airflow, Prefect, DBT, and SSIS, ensuring efficiency, scalability, and reliability of ETL processes.
• Ensure robust testing, monitoring, and validation of all data systems and pipelines.
• Drive continuous improvement in data engineering practices to keep them cutting-edge, efficient, and industry-aligned.
• Foster a culture of clean code, best practices, and rigorous testing within the team.

Experience & Qualifications

• 5+ years of experience in data engineering roles, with a proven track record of developing and maintaining data pipelines and architectures.
• Experience working with large-scale data platforms and cloud environments.
• Strong background in relational databases, dimensional data modeling, and cloud-native solutions.
• Familiarity with data engineering tools such as Apache Airflow, Prefect, and cloud storage platforms.
• Excellent problem-solving skills, with the ability to navigate complex technical challenges.

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.

Jobot is an Equal Opportunity Employer. We promote an inclusive environment that celebrates diversity, and all qualified candidates are considered without regard to race, color, religion, age, sex, national origin, disability status, genetics, veteran status, sexual orientation, gender identity or expression, or any other protected characteristic.

Sometimes Jobot performs background checks with your authorization. We consider qualified candidates with criminal histories in accordance with applicable laws, including local Fair Chance initiatives.

Additional Information

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