Senior Data Engineer, Analytics (Remote - US) - job 1 of 2

This position is posted by Jobgether on behalf of Lovevery. We are currently looking for a Senior Data Engineer, Analytics in the United States.

This role offers a unique opportunity to shape and elevate data strategy within a fast-growing, mission-driven environment. As a Senior Data Engineer focused on analytics, you will be instrumental in building scalable data pipelines, creating actionable models, and enabling business leaders to make informed decisions. You’ll work closely with cross-functional teams, leveraging AI and automation to enhance data transformation and visualization. This position emphasizes ownership, technical expertise, and collaboration to deliver high-impact solutions that drive organizational success.

Accountabilities:

• Develop and maintain scalable data pipelines, dashboards, and visualizations that empower business users.
• Lead technical discussions on data architecture and implement robust, performant analytics models.
• Balance feature development with cost-efficient, high-performing data solutions.
• Collaborate with product managers, engineers, and stakeholders to translate business requirements into technical deliverables.
• Champion AI-driven automation and coding practices to improve development velocity and quality.
• Foster data fluency by enabling teams to self-serve through effective reporting tools.

• 5+ years experience with DBT in collaborative and growth-oriented environments.
• Expertise in production data modeling on cloud platforms such as Databricks Delta, Snowflake, Redshift, or BigQuery.
• Advanced SQL skills, including understanding performance optimization.
• Familiarity with distributed data processing frameworks like Spark.
• Experience building CI/CD data pipelines with strong testing, monitoring, and alerting.
• Knowledge of AI-assisted development tools such as GitHub Copilot or Natural Language Query platforms.
• Proficiency in visualization tools like Looker, Tableau, or PowerBI.
• Competence with git for version control and collaboration.
• Python programming skills and experience with DAG orchestration tools (Prefect, Dagster, Airflow) are a plus.
• Experience with ecommerce or subscription data environments is advantageous.

• Competitive salary range of $130,000 to $175,000, plus benefits and stock options.
• Three weeks of paid time off in the first year, plus 14 paid holidays.
• Generous parental leave.
• Provision of necessary equipment for remote work.
• Free or discounted products.
• Flexible remote working option anywhere in the United States.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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