This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer, Data Engineering in United States.
This role offers the opportunity to work on critical data and software infrastructure that drives insights across business, product, and finance functions. You will collaborate with cross-functional teams to design, build, and maintain high-quality data pipelines, orchestration systems, and backend services that support key decision-making and customer experiences. The position balances technical ownership of both data engineering and software development responsibilities, allowing you to contribute to system design, architecture, and implementation. You will work in a fast-paced, collaborative environment where quality, scalability, and reliability are essential, and where your work directly impacts organizational performance and customer satisfaction. This role encourages continuous learning, mentorship, and innovative problem solving while contributing to a mission-driven culture that values collaboration and technical excellence.
Accountabilities:
· Design, build, and maintain data pipelines, backend services, and orchestration systems to support analytics, modeling, and business needs.
· Create and maintain foundational datasets that are reliable, interpretable, and optimized for performance.
· Collaborate with cross-functional partners in Data Science, Product, Finance, and Engineering to ensure data solutions meet business requirements.
· Write and maintain technical documentation for systems you design, build, and operate.
· Participate in team on-call rotations to ensure system reliability and monitor data hygiene.
· Mentor peers and contribute to team knowledge sharing, best practices, and continuous improvement initiatives.
· Collaborate with engineers across the organization to elevate system design, architecture, and overall software quality.
· 2+ years of professional experience in data and software engineering.
· Proficiency in at least one programming language (Python, Java, etc.) and SQL.
· Strong debugging, technical investigation, and problem-solving skills.
· Experience with modern data storage and transformation technologies (e.g., BigQuery, DBT, Airflow).
· Familiarity with ETL/rETL tools (e.g., Hightouch, Census, Rudderstack).
· Excellent technical communication and ability to collaborate effectively in asynchronous and remote environments.
· Preferred: Python and Django ORM experience, maintaining large DBT projects, experience with Medallion Architecture, product analytics, technical writing, and mentoring engineers.
· Competitive total target cash compensation (TTCC) ranging from $229,500 – $280,500 USD.
· Eligibility for equity consideration.
· Comprehensive medical, vision, and dental insurance coverage.
· Mental wellness benefits and enhanced parental leave.
· Generous vacation policy, company holidays, and volunteer time off.
· Pre-tax benefits including 401(k), wellness programs, and holiday break.
· Opportunity to work in a collaborative, inclusive, and mission-driven environment.
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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