Staff Data Engineer (Remote - California)

This position is posted by Jobgether on behalf of Ascent Funding. We are currently looking for a Staff Data Engineer in California (USA).

This is a strategic role for an experienced data engineering professional who will design and optimize enterprise-scale data pipelines, supporting cross-functional teams and business-critical systems. You will build robust, scalable ETL/ELT workflows, maintain cloud-based infrastructure, and integrate machine learning models to deliver actionable insights. The position requires hands-on technical expertise, particularly in Python, SQL, AWS, and database management, combined with the ability to drive best practices in governance, efficiency, and automation. You will collaborate with stakeholders across analytics, product, and engineering to create reliable, AI-ready data solutions. This is an opportunity to influence the company’s data strategy while working in a hybrid or remote-friendly environment.

Accountabilities:

• Design, develop, and optimize scalable data pipelines to support analytics, reporting, and operational needs.
• Build and maintain ETL/ELT workflows using SQL, Python, dbt, SSIS, and AWS Glue.
• Integrate machine learning models into data pipelines via AWS SageMaker to deliver actionable insights.
• Administer and optimize relational (MS SQL, Postgres, MySQL) and NoSQL (DynamoDB) databases for performance and reliability.
• Manage cloud infrastructure on AWS (EC2, Redshift, RDS, S3, DMS, Athena, CloudWatch, QuickSight) and automate deployments with Terraform.
• Ensure data governance, security, and compliance best practices, including encryption at rest and in transit.
• Collaborate with cross-functional teams to enable AI-ready and self-service analytics solutions.
• Utilize Git for version control and implement development best practices to maintain code integrity.

• Bachelor’s degree in Computer Science, Electrical Engineering, Data Engineering, or related field (Master’s degree accepted with reduced experience requirement).
• 7+ years of progressive experience in data engineering (or 5+ years with a Master’s degree), including delivering large-scale data solutions.
• Strong hands-on experience with AWS technologies, including EC2, Glue, Redshift, RDS, S3, DMS, Athena, CloudWatch, QuickSight, and SageMaker.
• Expertise in Python, SQL, ETL/ELT processes, dbt, SSIS, and workflow optimization.
• Experience with relational and NoSQL databases, including MS SQL, Postgres, MySQL, and DynamoDB.
• Knowledge of encryption, database tuning, indexing, and query optimization.
• Familiarity with version control systems (Git) and infrastructure-as-code tools (Terraform).
• Understanding of data governance, security, and compliance principles.
• Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively.

• Competitive salary ($180,502 per year).
• Fully remote-friendly work environment with flexible scheduling.
• Comprehensive health, dental, and vision coverage.
• Professional development opportunities and supportive work culture.
• Inclusive and equal opportunity workplace, committed to diversity, equity, and inclusion.

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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