This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in United States.
As a Senior Data Engineer, you will play a pivotal role in building the foundation of a modern, scalable data platform that powers analytics, AI, and decision-making across the organization. This is a high-impact opportunity where you will take full ownership of designing, implementing, and optimizing data pipelines, models, and infrastructure. Collaborating closely with engineers, data scientists, and business leaders, you will ensure clean, reliable, and actionable data is available to drive student success, program outcomes, and organizational growth. If you are motivated by autonomy, innovation, and the chance to architect systems from the ground up, this role offers the rare opportunity to make a lasting difference at scale.
Accountabilities
In this role, you will be responsible for leading the design, development, and management of the organization's data ecosystem.
Your key missions include:
- Designing and maintaining scalable, modern data infrastructure including warehouses, pipelines, and analytic products
- Building and optimizing ETL/ELT workflows using SQL, dbt, FiveTran, Airbyte, and related tools to deliver high-quality data
- Creating effective data models that enable self-serve analytics and business intelligence across teams
- Developing and maintaining dashboards and reporting systems (e.g., Tableau) to support decision-making
- Establishing governance, data quality standards, and best practices to ensure trust and reliability
- Documenting workflows and infrastructure to ensure transparency and scalability
- Partnering with leadership to define and evolve the long-term data strategy
- Providing mentorship and setting engineering standards for future hires
Requirements
To succeed in this position, you bring strong technical expertise paired with the ability to thrive in dynamic environments.
Key qualifications include:
- 5+ years of experience in data engineering or similar roles
- Strong proficiency in SQL, with proven experience building and optimizing pipelines
- Expertise in end-to-end data pipeline development, data modeling, and performance tuning
- Hands-on experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift
- Familiarity with Postgres, dbt, Airbyte, and Tableau or equivalent visualization tools
- Strong communication skills to translate complex data into actionable insights for diverse stakeholders
- Ability to work autonomously, adapt to ambiguity, and deliver outcomes in a fast-paced environment
Preferred qualifications include experience with custom connectors, data governance frameworks, and working in a startup or high-growth organization.
Benefits
This full-time, remote position offers competitive compensation and a holistic benefits package, including:
- Salary range: $110,000 - $150,000 USD, based on experience and skills
- 100% remote work within the United States
- Medical, dental, and vision insurance with 90% employer coverage for employees and dependents
- Employer-funded healthcare reimbursement, FSAs, and Employee Assistance Program
- 401(k) with employer-paid life and disability insurance
- Generous PTO, paid holidays, 10 weeks fully paid parental leave, and annual year-end closure
- $1,000 annual professional development stipend and home office setup support
- Student loan forgiveness eligibility (PSLF qualifying employer)
- Additional perks including pet wellness plans, legal services, and exclusive discounts
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!
