Senior Data Engineer (Remote - US)

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

In this role, you will design, build, and scale modern data infrastructure to support the organization’s analytics, reporting, and operational needs. You will be responsible for architecting multi-cloud data platforms, optimizing ETL pipelines, and ensuring data quality and reliability across multiple systems. Collaborating closely with analysts, strategists, and business leaders, you will translate complex requirements into efficient technical solutions. As a senior member of the team, you will mentor junior engineers, set standards for best practices, and drive innovation across data processes. The role offers opportunities to lead integrations with vendors and partners, influence data strategy, and contribute to a high-performing, remote-first environment that values growth and collaboration.

Accountabilities

• Architect, build, and optimize scalable ETL pipelines and workflows to ingest, transform, and deliver data from diverse sources.
• Ensure data integrity, governance, and quality through validation frameworks, schema design, and proactive monitoring.
• Develop automation and tooling using Python, Pandas, AWS Lambda, and related technologies to improve operational efficiency.
• Design and manage cloud-based data platforms, including Snowflake, Redshift, Athena, BigQuery, and other solutions.
• Collaborate with analysts, strategists, and business teams to translate business requirements into technical solutions.
• Mentor junior engineers, promote code quality, documentation, and data engineering best practices.
• Lead vendor and partner integrations to ensure seamless data delivery and alignment with internal standards.
• Communicate technical insights effectively to both technical and non-technical stakeholders.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or related field—or equivalent experience.
• 5–7+ years of experience in data engineering, with a proven record of building and scaling data systems.
• Expert-level proficiency in SQL and Python, including libraries such as Pandas for data manipulation.
• Strong experience with AWS data products (S3, Redshift, Athena, Lambda) and familiarity with multi-cloud environments.
• Deep understanding of data modeling, schema design, and best practices for large-scale data pipelines.
• Experience designing secure, reliable pipelines and troubleshooting complex technical issues.
• Proven leadership in projects and mentoring junior engineers.
• Excellent communication, critical thinking, and problem-solving skills.
• Ability to manage multiple priorities in a fast-paced, dynamic environment.
• Nice-to-have: experience with dbt, Snowflake Notebooks, Looker Studio, or digital marketing analytics frameworks.

Benefits

• Remote-first work environment with flexibility to balance personal and professional priorities.
• Comprehensive medical, dental, and vision coverage for you and your dependents.
• Disability insurance plan.
• 401(k) with company match.
• Paid parental leave.
• Additional health and wellness perks.
• Opportunity to work in a collaborative, high-growth, and woman-owned organization.

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 assessments) are made by their internal hiring team.

Thank you for your interest!

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