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Senior Data EngineerOrijin, a public benefit corporationUnited States
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Senior Data Engineer

Orijin, a public benefit corporation
  • US
    United States
  • US
    United States

Über

Orijin is on a mission to prepare every justice-impacted individual for sustainable employment. We are a Public Benefit Corporation (PBC) and certified B-Corporation, with a business model that never charges incarcerated individuals or their friends and families for its technology or services. (https://orijin.works)
The Opportunity
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.
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.
Job Requirements
Data Platform & Architecture Leadership
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. Lead efforts around
data governance, security, lineage, and compliance
in partnership with stakeholders. Drive the transition toward
modern data stack best practices
(event-driven ingestion and streaming where appropriate). Data Engineering & Pipeline Ownership
Own the
design, build, and maintenance of production-grade data pipelines
across batch and streaming workloads. Build systems that support:
Monitoring, alerting, and observability
for data pipelines. Backfills
re-runs, and safe rollbacks
when failures or data issues occur. High
data quality and reliability
through automated checks and validation.
Optimize pipelines for
performance, cost efficiency, and scalability. Lead the move toward
near real-time data processing
where it delivers business value. Partner with analysts and product teams to ensure pipelines and data models
support meaningful analysis and reporting. Tooling & Infrastructure
Architect and maintain data systems using tools such as:
AWS (S3, RDS, Redshift, Lambda, DMS, Glue etc.) Data orchestration and ETL tools like Airflow, Airbyte and dbt
Improve CI/CD for data workflows, including testing, deployment, and environment management. Evaluate and introduce new tooling for orchestration, monitoring, and data quality as the platform matures. Efficiency & Reliability Focus
Continuously improve:
Query performance Storage and compute costs Pipeline runtime and failure rates
Lead incident response for data outages and quality issues, including
root-cause analysis and permanent fixes. Establish SLAs and reliability standards for critical data assets. Qualifications
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. $120,000 - $127,000 a year
Salary and Benefits
Orijin offers competitive compensation package commensurate with experience and a generous 100% employer-paid benefits package for you and your dependents. Fully remote with option to work in person in NYC office. Occasional travel as needed and the ability to work EST.
Equal Opportunity Employer
:
Orijin is an Equal Opportunity Employer and firmly believes in creating a workplace that respects and values diversity of cultural, ethnic, and experiential backgrounds. We encourage all qualified applicants to apply. As an organization committed to the successful reentry of justice-involved persons, we strongly encourage candidates who share the life experiences of the citizens we serve to apply
Disclaimer:
The above statements are intended to describe the general nature and level of work being performed by the individual assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Job duties may change or new duties assigned at any time with or without notice
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
  • United States

Sprachkenntnisse

  • English
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