Analytics Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Analytics Engineer based in the United States.

This is a hands-on, customer-facing Analytics Engineer role embedded with an enterprise client’s growth team.
You will own critical data workflows end to end, from audience building and campaign support to data investigation and scalable modeling.
The role is highly SQL-focused and combines technical execution with close collaboration across technical and non-technical stakeholders.
You will have significant ownership as the client transitions to a new cloud environment, creating opportunities to redesign pipelines and automate recurring processes.
The environment is fast-paced, with weekly deadlines, shifting priorities, and a strong emphasis on responsiveness and measurable customer impact.
You will act as both a technical partner and strategic thought partner, helping improve how data is used to support marketing and business outcomes.
This is an ideal opportunity for an engineer who enjoys solving ambiguous problems, improving systems, and taking ownership rather than waiting for perfectly defined tasks.

Accountabilities:

• Build, maintain, and debug complex SQL queries that power audience creation and email and direct mail campaigns.
• Work closely with an enterprise client to understand its business objectives, data environment, technical challenges, and operational requirements.
• Design and implement scalable data models supporting analytical and operational use cases.
• Investigate data discrepancies, compare datasets and tables, analyze deltas, and identify the root causes of data issues.
• Support live campaign workflows and recurring weekly deliverables, ensuring accurate and timely execution.
• Contribute to the migration to a new cloud data environment by rebuilding recurring processes and improving existing workflows.
• Automate manual data processes and develop more scalable, reliable, and repeatable pipelines and tooling.
• Partner with client stakeholders to provide technical guidance and help shape data-driven business decisions.
• Identify opportunities to improve internal processes, tooling, data quality, and operational efficiency.
• Take end-to-end ownership of assigned data workflows and contribute beyond the immediate scope when doing so helps deliver better outcomes for the customer.

Requirements:

• At least 2 years of hands-on experience writing, reading, and debugging complex SQL queries in a production environment.
• Strong practical experience with cloud data warehouses such as BigQuery, Snowflake, Redshift, or Databricks.
• Solid understanding of data engineering fundamentals, including data pipelines, ETL, reverse ETL, event streaming, and data modeling.
• Ability to investigate complex data issues and translate business questions into practical technical solutions.
• Strong communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
• Comfortable working directly with enterprise customers and developing a deep understanding of their business and data needs.
• Highly responsive and organized, with the ability to deliver reliably against recurring deadlines and quickly shifting priorities.
• Strong ownership mentality and high agency, with a demonstrated ability to identify problems, make decisions, and drive solutions through to completion.
• Comfortable operating in environments characterized by ambiguity, complexity, rapid change, and incomplete information.
• Curious, adaptable, collaborative, and willing to provide direct and constructive feedback while continuously developing technical skills.
• Must be based in the United States and authorized to work in the U.S. on an ongoing basis without visa sponsorship.

Benefits:

• On-target earnings of $110,000–$120,000 USD , with total compensation including equity and potential variable compensation.
• Equity participation, allowing employees to share in the value they help create.
• Spot bonuses for major milestones and successful product feature launches.
• Clear career progression opportunities and opportunities for cross-functional collaboration.
• Remote-first work environment with team members and leaders across North America and beyond.
• Flexible, goal-based working style designed to support autonomy and productivity.
• Flexible time off.
• Monthly company-wide Recharge Days to fully disconnect and recharge.
• Annual home office stipend to support a productive remote workspace.
• Company-paid medical coverage for individual employees, with strong contributions toward dependent coverage, plus dental and vision benefits.
• Life and disability coverage.
• 401(k) program with a generous company match.
• Quarterly hackathons for team passion projects and experimentation.
• Annual professional development stipend.
• Opportunities to work directly with an experienced executive team.
• Learner-focused culture that encourages continuous development and experimentation.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.