Senior Data Engineer - Capital One Software (Remote) - job 2 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - Capital One Software (Remote) in United States.

This role offers an exciting opportunity to design, build, and optimize large-scale data systems that support innovative software solutions. You will work with cross-functional teams to develop full-stack and cloud-based data solutions, contributing to high-impact projects that drive business outcomes and empower millions of users. The position requires expertise in distributed systems, data engineering, and cloud technologies, along with the ability to mentor colleagues and share technical insights. You will engage with cutting-edge tools and platforms, participate in solution architecture discussions, and ensure data pipelines are scalable, efficient, and reliable. This is a fully remote role, offering flexibility while providing opportunities to influence key technical decisions and deliver measurable impact across products and services.

Accountabilities:

The Senior Data Engineer will play a critical role in building and maintaining robust data platforms and pipelines:

• Collaborate with Agile teams to design, develop, test, implement, and support cloud-based technical solutions.
• Develop, optimize, and maintain data pipelines using distributed data/computing tools, including Databricks, Snowflake, Spark, Kafka, and Hive.
• Work with programming languages such as Python, Java, Scala, and SQL to deliver scalable solutions.
• Implement and manage NoSQL databases (e.g., MongoDB, Cassandra) and RDBMS platforms.
• Conduct unit testing, code reviews, and performance tuning to ensure high-quality deliverables.
• Mentor team members, share knowledge, and contribute to the engineering community.
• Collaborate with product managers and design teams to deliver solutions that meet user needs and business objectives.

Candidates should bring strong technical expertise in data engineering and cloud-based development:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of professional experience in application development.
• 1+ year of experience in big data technologies; 5+ years preferred.
• 2+ years of experience with public cloud platforms (AWS, Azure, GCP).
• 3+ years of experience with distributed data/computing tools and frameworks.
• 2+ years of experience with real-time data processing, NoSQL databases, and data warehousing (Databricks, Snowflake).
• Proficiency with UNIX/Linux systems, including shell scripting.
• Experience with Agile engineering practices and full-stack data solutions.
• Strong problem-solving, analytical, and collaborative skills; ability to communicate technical concepts clearly.

• Competitive remote salary range: $144,200 – $164,600 annually.
• Eligibility for performance-based incentives, including cash bonuses and long-term incentives.
• Comprehensive health, dental, and vision coverage.
• Flexible remote work environment.
• Opportunities to work with cutting-edge cloud and big data technologies.
• Professional growth and mentorship opportunities within a high-performing engineering team.
• Supportive and inclusive workplace culture that encourages innovation and collaboration.

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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