Senior Data Engineer at Jobgether – United States
Jobgether
United States, United States
Posted on
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About This Position
Senior Data Engineer
Accountabilities:
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in United States.
This role offers the chance to be a technical leader on a fast-growing data engineering team, building robust, scalable data pipelines and platforms that power critical business and product insights. You will design and implement data architectures, optimize pipelines, and manage cloud infrastructure in a collaborative, remote-first environment. The position provides exposure to cutting-edge cloud technologies, streaming and batch data processing, and modern data warehouse and lakehouse patterns. You will work closely with cross-functional teams, translating business requirements into reliable data solutions, and mentoring junior engineers to drive best practices. This is an opportunity to shape the data backbone of a high-impact platform while contributing to innovative solutions across the organization.
- Architect, build, and maintain scalable data pipelines, data models, and infrastructure across cloud platforms
- Lead technical design decisions, including pipeline orchestration, data modeling, and cloud infrastructure
- Develop and optimize complex SQL queries and data transformations in BigQuery and PostgreSQL
- Write production-grade Python and/or Go code to enhance data management frameworks and services
- Partner with data science, business intelligence, product, and operations teams to deliver reliable data solutions
- Own the full Software Development Lifecycle for data projects, including design, CI/CD, testing, monitoring, and maintenance
- Implement streaming and event-driven pipelines using Kafka and distributed processing frameworks like Apache Spark
- Mentor junior and mid-level data engineers, conduct code reviews, and promote engineering best practices
- Share knowledge across the team and organization via presentations, learning sessions, and documentation
- 4+ years of data engineering experience delivering production-grade data systems
- Strong SQL skills with expertise in query optimization, indexing, execution plan analysis, and data modeling in BigQuery and PostgreSQL
- Proficiency in Python, with experience in Go considered a strong plus
- Deep experience with Google Cloud Platform services including BigQuery, GCS, Composer/Airflow, Cloud Functions, Cloud Run, Pub/Sub, and CloudSQL
- Proven experience building and operating event-driven/streaming data pipelines, ideally with Kafka or Aiven/Debezium
- Solid understanding of modern data warehouse and lakehouse architectures and multi-layered modeling (bronze/silver/gold)
- Infrastructure-as-Code experience using Terraform to manage cloud infrastructure
- Familiarity with SDLC best practices including CI/CD, automated testing, code review, and deployment management
- Ability to independently design data architecture solutions and translate business requirements into functional pipelines
- Strong communication skills and experience mentoring engineers in a collaborative team environment
- Nice-to-have: experience with Apache Spark, data observability tools, regulated industries, open-source contributions, and AI tools
- Competitive salary range: $140,800–$211,200 USD, commensurate with experience and skills
- Equity participation opportunities
- Remote-first work environment with flexibility to support work-life balance
- Comprehensive health, dental, and vision coverage, plus life and disability insurance options
- Paid parental leave (up to 8 weeks) and company 401K contribution (3% of gross income)
- Work-from-home stipend of $1,500 and annual $2,000 professional development fund
- Well-being program with monthly allowance for wellness activities
- Paid volunteer service hours, referral program, and peer recognition programs
- Cash incentives for eligible positions, including potential commissions
Why Apply Through Jobgether?
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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Job Location
United States, United States
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