πLithuania
Analytics Engineer

GrowthLoop
π΅ $110k-$120k
πRemote - United States
Please let GrowthLoop know you found this job on JobsCollider. Thanks! π
Summary
Join GrowthLoop, a leader in AI-powered marketing, as a Data Engineer working directly with a major enterprise client. You will be a key technical partner in their data transformation journey, designing and building scalable data models to unlock business value. This role requires strong SQL and Python skills, experience with cloud data warehouses, and a deep understanding of relational databases. You will engineer and optimize data ingestion, collaborate with clients to understand their needs, and improve internal workflows. The ideal candidate thrives in a fast-paced environment and is passionate about clean data architecture. This is a remote-first position with flexible schedules and generous benefits.
Requirements
- 2+ years of experience in SQL
- 2+ years of experience in Python
- Hands-on experience with the design, development, and maintenance of cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
- Strong understanding of relational databases and data warehousing fundamentals
- Strong analytical and problem-solving skills
- Self-starter who thrives with autonomy and responsibility
- Intellectual curiosity and the drive to continuously learn and apply new technologies
Responsibilities
- Engineer and optimize the ingestion of large volumes of data into cloud data warehouses
- Work directly with a single enterprise client to understand their business needs, data landscape, and roadblocks
- Design and build scalable data models that support the client's analytical and operational goals
- Drive improvements to internal workflows and tooling to increase efficiency and repeatability
- Serve as a thought partner for client stakeholders, guiding technical and strategic data decisions
Preferred Qualifications
- Experience with transformation orchestration tools such as dbt or Google Cloud Dataform
- Experience with orchestration platforms like Airflow
- Experience with Machine Learning workflows βmodel development, training, deployment, or productionization
- Prior experience working with or within large enterprise organizations
Benefits
- Free Platinum Health Insurance with Aetna
- 401(k) Program with Generous Company Match
- Spot bonuses for major milestones and product feature graduations
- Opportunities for career progression and dynamic collaboration across teams
- Equity incentives for employees making an impact
- Remote-First Culture
- Flexible schedules and goal-based work style
- Unbounded PTO
- Monthly Recharge Days
- Quarterly Hackathons to focus on team passion projects
- Education Stipend towards your professional development
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