Senior Data Engineer
Remote - USA · Incline Village, Nevada, United States
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Remote — work setting source
Location type: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Tech — team source
Department: Tech
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
As a note; Socure cannot provide sponsorship now or in the future for this role.
Read the full posting
What you’ll work on
Full postingWe are looking for a Senior Data Engineer to join our Data Automation team.
Design and build batch and streaming data pipelines for ingestion, ML features and analytics
Own end-to-end delivery of complex data initiatives, from architecture to monitoring and docs
Develop the data platform for large-scale processing on cloud-native technologies
Automate data validation, quality checks, alerting, backfills and recovery workflows
Optimize cost, performance and reliability of data workloads
From the employer’s posting
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.
Design and build batch and streaming data pipelines
Own end-to-end delivery of complex, ambiguous data initiatives
Develop and evolve the data platform to support large-scale data processing
Automate data operations (validation, quality checks, alerting, backfills, and recovery workflows)
Optimize cost, performance, and reliability of data workloads
What you’ll bring
All qualificationsCore experience
- 5+ years of hands-on data engineering experience, building and maintaining production-grade data platforms and pipelines.
- 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.
- Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
Preferred experience
- 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).
Qualification wording
5+ years of hands-on data engineering experience, building and maintaining production-grade data platforms and pipelines.
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.
Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
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).
Tools in this posting
- Python
- Scala
- SQL
- AWS
- Kafka
- S3
- Spark
- Airflow
Source — Tool mentions in context
• 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.
• 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.
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).
• 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).
• 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.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 149 days ago
- Recorded sightings
- 209
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Mar 26, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Check the listed location, eligibility and core experience before starting.
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Job description
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.
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Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Incline Village, Nevada, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
• 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.
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