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Data Engineer

Safe-Guard Products International Atlanta, Georgia, United States

4 h ago
data-engineer Mid (2-5 yrs) Full-time United States
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About the role

The Data Engineer will lead complex data engineering projects, build scalable data pipelines, and drive innovation in AI-enabled data products. They will collaborate with stakeholders to define requirements while mentoring junior team members and overseeing end-to-end delivery of data initiatives.

What they look for

Data engineering SQL Python Apache Airflow Dbt Snowflake AWS Glue Cloud platforms Data modeling Data warehousing Distributed data processing CI/CD DevOps Data architecture Automation AI-enabled data products

Requirements

Candidates must have a bachelor's degree in a relevant field and at least 4 years of experience in data engineering. Proficiency in SQL, Python, and cloud-based data tools is required, along with strong communication and project leadership skills.

Benefits

Medical insurance Dental insurance Vision insurance Flexible spending account Health savings account 401(k) plan Short-term disability Long-term disability Life insurance Paid holidays Paid vacation Employee referral program Employee assistance program Wellness programs Paid community service opportunities Tuition reimbursement Ongoing training

Full description

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Job Title: Data Engineer (hybrid)

Location: US-GA-Atlanta (Sandy Springs)

FLSA: Exempt

#LI-Hybrid

Job Overview:

The Data Engineer leads complex data engineering projects and drives innovation in data architecture, automation and AI-enabled data products. This role builds the pipelines and data products our OEM partners, dealers and internal teams rely on, works with AI tools every day, and helps decide which data products are worth building. It is a technical product owner role today, with a path to full data product ownership for the right person.

Job Responsibilities:

  • Oversee the end-to-end delivery of large-scale data engineering initiatives, owning pipeline quality, SLAs and adoption metrics for the data products you ship.
  • Use AI coding assistants and agents in daily engineering work, and share prompts, skills and workflows that make the whole team faster.
  • Prototype AI-enabled data products, such as natural-language access, semantic layers and agent workflows, and take the best ideas from proof of concept to a measured pilot.
  • Meet with business and client stakeholders to frame problems, define value hypotheses and recommend what to build and what not to build.
  • Design scalable and secure data architectures in collaboration with architects.
  • Implement automation for data ingestion, transformation, testing and deployment.
  • Proactively monitor data pipelines and resolve technical issues at the root cause.
  • Guide and develop junior engineers through code reviews and knowledge sharing and bring the team at least one new idea each quarter backed by a working prototype.
  • Grow toward data product ownership by taking on roadmap and backlog decisions, stakeholder discovery, adoption tracking and domain governance as you demonstrate readiness.

The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities.

Job Requirements:

  • Bachelor's degree in information systems, Computer Science, or related field; equivalent combination of education and experience will be considered.
  • 4 or more years of experience in data engineering, or equivalent demonstrated impact.
  • Proficiency in SQL and Python.
  • Experience with data pipeline and transformation tools (e.g., Apache Airflow, dbt, Snowflake, AWS Glue).
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Working familiarity with at least one analytical or semantic-layer tool (e.g., Power BI, Looker, Tableau).
  • Strong data modeling and data warehousing skills.
  • Working knowledge of distributed data processing.
  • Experience with CI/CD and DevOps practices.
  • Strong communication skills with both technical and business partners, and the ability to lead projects and mentor others.
  • Preferred: hands-on experience building and shipping something with AI or LLMs (for example an agent, a retrieval workflow or an AI-assisted engineering practice) that you can demonstrate.
  • Preferred: a record of starting something nobody asked for, such as an internal tool, an open-source project, a process or a venture.
  • Preferred: curiosity about the automotive finance and insurance business and how data products create value for clients.

Company Benefits:

  • Medical, Dental, and Vision Insurance
  • Flexible Spending Account
  • Health Savings Account
  • 401(k) Plan with Company Match
  • Company-paid Short-Term and Long-Term Disability
  • Company-paid Life Insurance
  • Paid Holidays and Vacation
  • Employee Referral Program
  • Employee Assistance Program
  • Wellness Programs
  • Paid Community Service Opportunities
  • Tuition Reimbursement
  • Ongoing Training & Personal Development
  • And More!

About Safe-Guard Products International:

Safe-Guard serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance &Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guard’s success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada.

For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service.

Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.

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