Orijin™

Make today an Orijin story.™

Senior Data Engineer

Data EngineerData EngineerFull TimeRemoteTeam 51-200Since 2014H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

35 days ago

Salary

$120K - $127K / year

Bachelor DegreeEnglishAirflowAmazon RedshiftAWSDynamo DBETLKafkaMongo DBNo SQLPostgresPythonSQL

Job Description

• As a Senior Data Engineer at Orijin, you will be a technical leader responsible for building, scaling, and modernizing the company’s data platform. • Your primary focus will be on data modeling, pipelines, architecture, reliability, and performance, ensuring that data is trusted, timely, and production-ready. • As a member of the Enterprise Services team, you will partner closely with data analysts, engineers and product managers to shape how data is modeled and used. • You will bring an analytical mindset to pipeline design and enable high-quality insights across the organization. • You will ensure company-wide confidence in data quality and enable data-enabled differentiating products and services. • Design and evolve Orijin’s data architecture to support scalability, reliability, and near–real-time use cases. • Define standards for data modeling, orchestration, versioning, and deployment. • Own the design, build, and maintenance of production-grade data pipelines across batch and streaming workloads. • Architect and maintain data systems using tools such as AWS (S3, RDS, Redshift, Lambda, DMS, Glue etc.).

Job Requirements

  • Bachelor’s or advanced degree in Computer Science, Engineering, Data Science, or equivalent work experience.
  • Expertise in the areas of data engineering, platform engineering, or backend engineering roles.
  • Proven experience designing and operating large-scale data pipelines and data platforms in production environments.
  • Strong proficiency in Python and SQL for data engineering workflows.
  • Hands-on experience with AWS data tools like Redshift, Lambda and Glue or equivalents; experience with data orchestration and ETL tools like Airflow, Airbyte and dbt in production environments.
  • Experience implementing monitoring, alerting, and data quality frameworks.
  • Familiarity with streaming or near–real-time systems (e.g., Kafka, Kinesis, or similar) is a plus.
  • Hands-on experience with PostgreSQL databases and NoSQL style databases like MongoDB, DynamoDB, etc.
  • Experience supporting machine learning or AI workflows (e.g., feature engineering, embedding pipelines, model inputs/outputs, embeddings, vector databases).
  • Strong collaboration and communication skills - able to translate business and analytical needs into robust technical systems.
  • Experience with data governance, security, and compliance in regulated or sensitive-data environments.

Benefits

  • Orijin offers competitive compensation commensurate and a generous 100% employer-paid benefits package for you and your dependents.
  • Occasional Travel as needed and the ability to work EST.

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