Enterprise - Software Engineer - Apache, Python, Docker

Erias Ventures, LLC

McLean (VA)

On-site

USD 150,000 - 265,000

Full time

14 days+

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Benefits offered by this job

Above Market Hourly Pay
11% Roth or Traditional 401k with Vest
Spot Bonuses for Growth
Professional Development Bonuses
Medical Coverage (Company Subsidized)

Job summary

Erias Ventures in McLean, VA seeks an experienced Enterprise Software Engineer to design and implement data-enabled applications using Apache, Python, and Docker. You will work on complex data flows, production pipelines, and scalable ETL processes in a fast-growing, security-conscious environment.

The role emphasizes collaboration with stakeholders, cloud deployments on AWS, and strong data governance. Clearance: Top-Secret/SCI with polygraph required. Salary range $150,000 - $265,000 annually.

Qualifications

  • Advanced Python programming skills and familiarity with Java.
  • Experience building production data pipelines and ETL workflows at scale.
  • Understanding of data security, privacy, governance and compliance principles.
  • Experience with Spark/Big Data tooling and data orchestration.

Responsibilities

  • Understand data requirements with stakeholders and design solutions with minimal oversight.
  • Debug data quality issues, pipeline failures and performance bottlenecks.
  • Contribute to data engineering documentation and best practices.
  • Build end-to-end data pipelines using Python.
  • Use orchestration tools to deploy data pipelines and Spark jobs.
  • Containerize and deploy applications in AWS cloud environments.
  • Work with MySQL and PostgreSQL including performance tuning and query optimization.
  • Work with data catalogs and data lineage for diverse data formats including geospatial.
  • Use Bash scripting for automation and data processing tasks.
  • Integrate AI/ML services and models.

Skills

Python
SQL
Pandas/NumPy
Spark/PySpark
NoSQL
DynamoDB
Geospatial
OpenLineage

Tools

Docker
Podman
Airflow
Apache Iceberg
Trino
Terraform
CloudFormation
Unity Catalog OSS
Apache Superset
Kubernetes
Spark

Job description

Enterprise - Software Engineer - Apache, Python, Docker
  • McLean, VA

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We valuecreative problem-solving,open communication, andempowering our employeesto make decisions and put forth new ideas.

Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of atechnicallystrongandgrowth-orientedcompany focused on bringinginnovative solutionsto the difficult mission problems facing our customers.

Description

We are seeking a talented and experienced Data & Software Engineer who will work with a small team to build complex data flows for a custom application. A successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale.

  • Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight
  • Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks
  • Leverage a background in large-scale data migration or platform modernization efforts
  • Contribute to data engineering documentation, best practices, and design patterns
  • Build end-to-end data pipelines leveraging Python
  • Useorchestration tools to deploy data pipelines, including configuring and updating Spark Jobs
  • Containerizeand deployapplications in cloud environments like AWS
  • Workwith MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads
  • Leverageindustry standard tools for code control (Git, IaaC control, etc.)
  • Workwith data catalogs, tracking data lineage and handling a variety of data formats, including Geospatial
  • UseBash scripting for automation and data processing tasks
  • IntegrateAl/ML services and models
Clearance

A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Experience
  • Apache Spark & PySpark
  • Advanced Python skills (including Pandas & NumPy)
  • Docker, Podman
  • AWS S3, Lambda & Step functions
  • Apache Iceberg, Airflow, etc
  • SQL (with Trino)
  • NoSQL, DynamoDB
  • Unity Catalog OSS, Apache Polaris
  • Apache Superset
  • Terraform or CloudFormation
  • OpenLineage
  • H3, PostGIS
Benefits

Erias Ventures provides a complete package of wealth, health, and happiness benefits.The expected salary range for this position, depending on education and years of experience is $150,000 - $265,000.

Wealth Benefits:
  • Above Market Hourly Pay
  • 11% RothorTraditional 401kwith Immediate Vesting and Deposit
  • Spot Bonusesfor Assisting with Business Development and Company Growth
  • Professional Development Bonusesfor Certificates and Degrees
Health Benefits:
  • Company subsidizedMedicalCoverage
  • 100%Company PaidVisionandDentalCoverage
  • 100%Company PaidLong Term Disability,Short Term Disability, andGroup Life Insurance
  • MonthlyWellness Reimbursement
Happiness Benefits:
  • Paid Time OffwithFlexible WorkSchedules andBirthday Off
  • Amazon Prime MembershipandMonthlyInternetReimbursement
  • TechnologyandProductivity Allowancefor Equipment and Supplies
  • Morale BuildingandCompany Eventsto Celebrate our Successes and Build our Community
  • Onboarding and AnnualSwag
  • Company Paid Professional DevelopmentandTraining

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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