Senior Data Engineer (Contractor)

myPOS

Town of Greece (NY)

On-site

USD 140,000 - 200,000

Part time

14 days+
Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Benefits offered by this job

Competitive compensation
International team
Upskilling opportunities

Job summary

myPOS is expanding its data platform and seeks a Senior Data Engineer (B2B Contractor) to design, build and operate scalable data pipelines and data infrastructure. You’ll ensure data quality, enable analytics, and partner with data scientists across the company.

We value 6+ years in data engineering, strong Python/SQL, cloud experience (GCP/AWS/Azure), and hands-on orchestration tools like Airflow or Dagster, with a focus on reliable, compliant data workflows.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
  • 6+ years of experience as a Data Engineer building production-grade pipelines.
  • Strong Python and SQL skills with data structures, performance, and optimization.
  • Hands-on experience with orchestration and distributed processing in a cloud environment.
  • Experience with data warehousing concepts, ETL/ELT patterns, and dimensional modeling.
  • Experience with cloud providers (GCP, AWS, Azure) and CI/CD for data pipelines.
  • Familiarity with DataOps and data governance concepts.
  • Collaborative communication across engineering, analytics, and business stakeholders.

Responsibilities

  • Build and maintain data pipelines for ingestion, transformation, and export across sources and destinations.
  • Develop scalable data architecture to meet performance and business needs.
  • Partner with analysts and data scientists to deliver curated, analysis-ready datasets.
  • Implement data quality, testing, monitoring, lineage, and reliability best practices.
  • Optimize workflows for performance, cost, and scalability (e.g., Spark tuning, partitioning).
  • Ensure secure data handling and compliance with data protection standards.
  • Contribute to documentation, standards, and continuous improvement of the data platform.
  • Maintain data governance: access controls, auditability and governance practices.
  • Build and maintain MLOps automation: CI/CD for ML, environments, versioning of data/models/code.

Skills

Python
SQL
Data pipelines
Data modeling
Collaboration
Cloud platforms

Education

Bachelor’s degree in Computer Science or related field

Tools

Airflow
Dagster
Databricks
Terraform

Job description

At myPOS, we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth. From free multicurrency accounts to powerful e-commerce tools, we’re here to support business owners of all sizes and everyone out there who dreams of starting their own business.

As we are expanding our team, we’re looking for aSenior Data Engineer (B2B Contractor)to help us make a real difference in the Fintech industry. Ready to join us and shape the future of payments? Let’s make it happen!

About the role:

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable data pipelines and data infrastructure. Your work will ensure high-quality data is accessible, trusted, and ready for analytics and data science - powering business insights and decision-making across the company.

What you’ll do:
  • Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations

  • Develop and evolve scalable data architecture to meet business and performance requirements

  • Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics

  • Implement best practices for data quality, testing, monitoring, lineage, and reliability

  • Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)

  • Ensure secure data handling and compliance with relevant data protection standards and internal policies

  • Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes

  • Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices

  • Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

This role is perfect for you if you have:
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)

  • 6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets

  • Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies

  • Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment

  • Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts

  • Experience building reliable incremental data ingestion pipelines from DBs and APIs.

  • Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud

  • Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices

  • Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments

  • Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Nice to have / big advantage
  • Strong GCP experience and ecosystem knowledge: BigQuery, Composer, Dataproc, Cloud Run, Dataplex, Cloud Storage

  • Experience with data governance concepts: access control, retention, data classification, auditability, and compliance standards

  • Experience building observability for data systems (metrics, alerting, data quality checks, incident response)

  • Knowledge of model monitoring concepts: drift, data quality issues, performance degradation, bias checks, and alerting strategies

Why you should join myPOS:
  • Vibrant international team operating in hi-tech environment

  • Excellent compensation package

  • myPOS Academy for upskilling and training

  • Unlimited access to courses on LinkedIn Learning

  • Refer a friend bonus as we know that working with friends is fun

  • Teambuilding, social activities and networks on a multi-national level

Who we are:

Since 2014 we’ve been all about making payments easier and more accessible for businesses of all shapes and sizes. Whether you’re at the counter, selling online, or on the move, we’ve got businesses covered with smart, accessible and affordable solutions that keep things easy.

Our mission? It’s simple. Help businesses get paid by taking advantage of modern tech and innovative ideas, so payment challenges are a thing of the past.

Pro tip:

Take it easy about meeting every requirement - this job description is just that, a job description! Even if you don’t tick every box, we want you to apply anyway! This is your chance to grow, learn, and build your career with us. We value potential over perfection, and we are all about mutual growth!

myPOS is committed to providing equal employment opportunities. All qualified candidates will be considered for employment without discrimination based on age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, veteran status, race, religion, sex, sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations, and ordinances.

Your application will be confidentially reviewed in line with the General Data Protection Regulation (GDPR). Personal information will be used solely for the job application and will be stored for a period needed by the application process. Only short-listed candidates will be contacted. Good luck!

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Data Engineer
Data Engineer

Global Payments Inc. • Alpharetta (GA)

Hybrid
USD 120,000 - 180,000
Competitive salary & benefits
Global career growth
Learning & development
+4
Data Engineer
Data Engineer

Global Payments Inc. • Atlanta (GA)

On-site
USD 110,000 - 160,000
Competitive salary
Global benefits
Career growth opportunities
Senior Data Engineer (Contract) - Data Pipelines & ML Ops
Senior Data Engineer (Contract) - Data Pipelines & ML Ops

myPOS • Town of Greece (NY)

On-site
USD 140,000 - 200,000
Competitive compensation
International team
Upskilling opportunities
Associate Data Engineer
Associate Data Engineer

PayIt • Kansas City (MO)

On-site
USD 60,000 - 75,000
Data Engineer
Data Engineer

PayIt • Kansas City (MO)

On-site
USD 100,000 - 125,000
Data Engineer
Data Engineer

PayIt • United States

On-site
USD 120,000 - 180,000
Data Engineer
Data Engineer

PayIt • Missouri

On-site
USD 100,000 - 125,000
Competitive salaries
Flexible working arrangements
Volunteer program
Associate Data Engineer
Associate Data Engineer

PayIt • North Kansas City (MO)

On-site
USD 60,000 - 75,000
Competitive salary
Sales Engineer
Sales Engineer

Global Payments Inc. • Miami (FL)

On-site
USD 90,000 - 130,000
Competitive salary
Global opportunities
Learning & development
+3
Associate Data Engineer
Associate Data Engineer

PayIt • Missouri

On-site
USD 60,000 - 75,000