Socure

Senior Data Engineer

USA, United States full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
Sign in to apply Free account — we bring you straight back to this role.

About the role

Why Socure?

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

About the Role

We are looking for a Senior Data Engineer to join our Data Automation team. You will play a critical role in designing and building scalable data platforms and pipelines that power Socure’s identity verification products and analytics. This role is ideal for someone who has a strong passion for solving real business problems with data, and combines deep hands-on data engineering expertise with strong ownership.

What You'll Do

• Design and build batch and streaming data pipelines to support automated data ingestion, ML feature engineering and analytics across multiple product domains.

• Own end-to-end delivery of complex, ambiguous data initiatives, including architecture, implementation, testing, deployment, monitoring, and documentation.

• Develop and evolve the data platform to support large-scale data processing using modern cloud-native technologies.

• Automate data operations (validation, quality checks, alerting, backfills, and recovery workflows) to reduce manual effort and improve consistency.

• Optimize cost, performance, and reliability of data workloads.

• Partner closely with cross-functional teams (Data Science, Product, Engineering) to understand requirements, translate them into technical solutions.

• Evaluate and adopt new technologies (new processing engines, storage formats, orchestration tools, GenAI-assisted ingestion) to keep the platform modern and efficient.

What You Bring

• 5+ years of hands-on data engineering experience, building and maintaining production-grade data platforms and pipelines.

• Strong programming skills in general-purpose language (such as Python or Scala) for data processing, and SQL for data analytics.

• Deep experience with distributed data processing frameworks, such as Apache Spark, including performance tuning and optimization.

• Proven experience building data solutions using services on AWS (EMR, Lambda, s3, etc).

• Strong understanding of data modeling and data warehousing concepts, including partitioning, schema design for large-scale datasets.

• Experience operating and supporting production pipelines, including monitoring, alerting, incident response, and improving reliability over time.

• Solid foundation in software engineering practices, including version control, CI/CD, testing strategies, and code review.

• Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.

Preferred Qualifications

• Experience with streaming or near-real-time data processing (Kafka, Kinesis, etc).

• Hands-on experience with data orchestration tools (Airflow, Step Functions, etc).

• Familiarity with modern data platform patterns such as Data Lakehouse, Data Mesh, and large-scale data sharing across teams.

• Experience with prompt engineering using modern GenAI, Large Language Models (LLM).

• Experience mentoring other engineers and contributing to engineering-wide standards, best practices.

As a note; Socure cannot provide sponsorship now or in the future for this role.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

Follow Us!

YouTube | LinkedIn | X (Twitter) | Facebook

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis MySQL Operations Python SQL Mid level

Likely questions

  1. Tell us about work you have done that is close to the Senior Data Engineer role.
  2. How would you approach your first 30 days at Socure?
  3. Which of Data Analysis, MySQL and Operations have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, MySQL and Operations.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Engineer role because I can bring practical experience in Data Analysis, MySQL and Operations, learn the team quickly, and contribute to the outcomes Socure needs from this hire.

Related jobs.

More roles from this company or category.