Staff Data Engineer (Remote - US)

This position is posted by Jobgether on behalf of Flex. We are currently looking for a Staff Data Engineer in United States.

This role offers the opportunity to shape and scale a cutting-edge data infrastructure that drives business intelligence, analytics, and machine learning initiatives. You will design, build, and maintain robust pipelines, data warehouses, and streaming platforms that support strategic decision-making and operational excellence. The position requires deep technical expertise, cross-functional collaboration, and a passion for optimizing data operations for scalability, accuracy, and timeliness. You will work in a fast-paced, high-growth environment where your contributions directly impact the company’s mission to empower users with flexible financial solutions. This role emphasizes both technical leadership and hands-on engineering to influence the future of data-driven products.

Accountabilities:

• Design, implement, and maintain high-quality data infrastructure services, including data lakes, real-time streaming (Kafka, Amazon Kinesis), and data access layers.
• Develop efficient DBT models and jobs to support analytics reporting and machine learning workflows.
• Collaborate with analytics and product teams to ensure proper data modeling, ingestion, and reporting.
• Build scalable real-time and offline ETL pipelines, ensuring reliability and performance.
• Design, implement, and manage secure data warehouses for large datasets.
• Automate manual processes and optimize data delivery to enhance operational efficiency.
• Document engineering designs, runbooks, and best practices to standardize workflows.

• 8+ years of industry experience in data infrastructure or data engineering.
• 8+ years of hands-on experience with Python and SQL; Java experience is a plus.
• 4+ years of experience with DBT, Snowflake, and Infrastructure as Code tools (CDK, Terraform).
• Familiarity with AWS services including Lambda, Step Functions, Glue, RDS, EKS, DMS, and EMR.
• Industry experience with big data platforms such as Kafka, Hadoop, Hive, Spark, Cassandra, and Airflow.
• Experience with relational and NoSQL databases in production environments.
• Strong fundamentals in data structures, algorithms, and design patterns.
• Experience with CI/CD processes, cross-functional collaboration, and mentoring other engineers.
• Excellent written and verbal communication skills.
• Ability to thrive in an ambiguous, fast-paced, high-growth environment.

• Competitive base salary: NY/NJ/CA $221,000–$262,000; other states $199,000–$236,000.
• 100% company-paid medical, dental, and vision coverage for employees.
• 401(k) plan and company equity participation.
• Unlimited paid time off plus 13 company-paid holidays.
• Parental leave and Flex Cares Program (non-profit match and pet adoption coverage).
• Free Flex subscription and tools to support work from home.
• Opportunity to work in a high-growth, inclusive, and data-driven culture.

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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