Data Engineer, Applied Analytics & Insights

General Motors; Juneau (AK); Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative company is seeking a skilled Data Engineer to join their Applied Analytics & Insights team. This remote role involves developing high-quality, scalable data products that enhance customer experience and profitability. You will collaborate with diverse teams, focusing on cloud-first technologies and best practices in Data Engineering. If you are passionate about data and eager to drive improvements in a dynamic environment, this opportunity is perfect for you. Join a forward-thinking organization that values continuous learning and innovation in the data engineering community.

Qualifications

• 3+ years of experience in enterprise-scale data solutions.
• Expertise in programming with data platforms and big data frameworks.

Responsibilities

• Develop analytics data products in collaboration with cross-functional teams.
• Design data products compliant with privacy and security policies.

Skills

Data Engineering

SQL

Python

Azure

Databricks

Spark

ETL/ELT

Agile Development

Data Privacy & Security

Problem-Solving

Education

Bachelor's degree in Computer Science

Equivalent work experience

Tools

GitHub

Big Data Frameworks

Job description

Job Description

This role is based remotely, but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, Milford, or Mountain View], you are expected to report to that location at least three times a week.

The Role

We are seeking a highly skilled and motivated Data Engineer to join our Applied Analytics & Insights (AA&I) organization at GM. In this role, you will develop high-quality, scalable, and curated data products that support the AA&I portfolio. You will collaborate cross-functionally with product owners, data scientists, and partner teams to develop consumer-centric, prescriptive solutions aimed at enhancing GM's customer experience and profitability.

What You’ll Do

1. Collaborate with analytics delivery and data science teams to develop analytics data products.
2. Design and develop data products compliant with data privacy and security policies to protect sensitive customer data.
3. Promote the adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale engineering efforts.
4. Work with partner teams including data governance, data architecture, release management, operations, and infrastructure.
5. Provide rotational on-call support as needed.
6. Stay current with emerging Data Engineering trends and proactively identify opportunities for improvement and innovation.
7. Foster a culture of continuous learning, knowledge sharing, and development within the team and broader data engineering community.

Additional Job Description

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, or a related field.
• 3+ years of experience delivering enterprise-scale data and analytics solutions using modern hybrid cloud technologies, focusing on data curation for modeling and reporting.
• Expertise in programming with data platforms, big data frameworks, and tools including Azure (or similar), Databricks, Spark, SQL, Python, and GitHub.
• Deep knowledge of Data Engineering practices such as data privacy & security, ETL/ELT, data architecture, data quality, performance optimization, source code management, release management, and operations.
• Strong problem-solving and analytical skills with experience analyzing large-scale transactional and event data from diverse sources.
• Effective communication skills to work with both technical and non-technical stakeholders.
• Curious, proactive, and able to work independently.
• Experience in an Agile development environment.

This job does not include relocation benefits; costs are the responsibility of the candidate.