Socure Logo

Socure

Senior Data Engineer

Reposted 6 Hours Ago
Remote
Hiring Remotely in United States
160K-195K Annually
Senior level
Remote
Hiring Remotely in United States
160K-195K Annually
Senior level
The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.
The summary above was generated by AI
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

Similar Jobs

5 Days Ago
Remote or Hybrid
160K-160K Annually
Senior level
160K-160K Annually
Senior level
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
The Senior Data Engineer develops ETL/ELT pipelines and data solutions for lab operations, focusing on collaboration and continuous improvement in data processing.
Top Skills: AirflowAWSAzureGitGitPandasPower BIPythonSparkSQL
13 Days Ago
In-Office or Remote
90K-119K Annually
Senior level
90K-119K Annually
Senior level
Software
The Senior Data Engineer will design and implement data architecture, manage production data pipelines, lead projects, and ensure quality and documentation while supporting progressive politics through data-driven solutions.
Top Skills: AirflowBigQueryDagsterDbtGoogle Cloud PlatformPythonSQL
13 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
145K-170K Annually
Senior level
145K-170K Annually
Senior level
Big Data • Healthtech • Software • Analytics • Pharmaceutical • Infrastructure as a Service (IaaS)
As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.
Top Skills: AzureDbtDockerPostgresPythonSnowflakeSQLTerraform

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account