Sr Data Engineer

MoneyGram; United States; Remote; USD 37,000 - 58,000; Full time

Benefits offered by this job

Health insurance

Life and accident insurance

Remote work flexibility

Tuition reimbursement

Transfer fee reimbursement

Employee assistance program

Employee referral program

Job summary

MoneyGram is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines on GCP and AWS. You will work with analytics, product, and engineering teams to deliver high‑quality data solutions for reporting and advanced analytics.

The role emphasizes performance, reliability, and automation, with focus on ETL/ELT, data modeling, and data governance. Remote work options are available for this position.

Qualifications

• 7+ years in data engineering or related fields.
• Strong expertise in Google Cloud Platform tools (BigQuery, Airflow, Dataflow, Pub/Sub, Cloud Storage).
• Experience with SQL, Python for data pipelines and automation.
• Experience designing and executing ETL/ELT solutions in production.
• Solid understanding of data warehousing concepts and analytics structures.
• Proficiency with Git-based version control and CI/CD pipelines.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines on GCP/AWS.
• Develop optimized data ingestion frameworks for batch and streaming workloads.
• Implement data transformation logic using SQL, Python, and Apache Beam.
• Tune BigQuery performance with partitioning and clustering.
• Create reusable ingestion, reconciliation, data quality, and metadata tracking frameworks.
• Implement data validation, profiling, and monitoring for accuracy.
• Establish error handling, logging, and alerting in pipelines.
• Support data governance, documentation, lineage, and change management.
• Utilize CI/CD pipelines to automate deployments of data pipelines.
• Collaborate with Analytics, Product, and Engineering to gather requirements.

Skills

ETL/ELT design

SQL

Python

Data pipeline development

Data modeling

CI/CD

Tools

BigQuery

Cloud Composer/Airflow

Dataflow/Apache Beam

Pub/Sub

Cloud Storage

Cloud Functions

S3

Glue

Job description

Location: India

At MoneyGram, we're combining the strength of a trusted global brand with the agility of a tech-forward, growth driven culture. With 85+ years of experience and a presence in more than 200 countries and territories, we've built a foundation of stability and trust to help millions of people around the world send funds quickly, securely, and affordably. We're looking for bold thinkers, builders, technologists, and sellers who want real ownership of their work, thrive in collaborative environments, and are energized by solving complex challenges. Here, you'll have the opportunity to make a measurable impact - fast. If you're eager to shape the future of cross-border payments and financial services, join us as we transform how the world moves money.

Job Title: Senior Data Engineer

Location: India, Remote

About the Role

We are looking for an experienced Data Engineer with 7+ years of industry experience to design, build, and optimize scalable data pipelines on Google Cloud Platform (GCP) and AWS. The ideal candidate will have hands‑on expertise in modern ETL/ELT frameworks, data modeling, and orchestration tools, with a strong focus on performance, reliability, and automation. The candidate should be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

This role will collaborate closely with analytics, product, engineering and business teams to deliver high–quality data solutions that enable reporting, insights, and advanced analytics.

What you will get to do as Senior Data Engineer

• Design, develop, and maintain scalable ETL/ELT pipelines using GCP-native services such as BigQuery, Cloud Composer (Airflow), Dataflow, Cloud Functions, Cloud Storage, etc.
• Build highly optimized data ingestion frameworks for batch and streaming workloads.
• Implement data transformation logic using SQL, Python, and Apache Beam.
• Design and implement partitioning, clustering, and optimization strategies in BigQuery for performance and cost efficiency.
• Build reusable frameworks for ingestion, reconciliation, data quality, and metadata tracking.
• Implement data validation, profiling, and monitoring to ensure data accuracy and completeness.
• Establish best practices for error handling, logging, and alerting within pipelines.
• Support data governance initiatives, including documentation, lineage, and change management.
• Use CI/CD pipelines (Cloud Build, GitLab CI/CD, Jenkins, etc.) to automate deployments of data pipelines.
• Work closely with Analytics, Product, and Engineering teams to gather requirements and design scalable data solutions.

What you will need to be successful

• Data Engineering Experience: 7+ years of experience in data engineering or related fields.
• Strong expertise in Google Cloud Platform: Including working knowledge of the following tools
  • BigQuery
  • Cloud Composer / Airflow
  • Dataflow / Apache Beam
  • Pub/Sub
  • Cloud Storage
  • Cloud Functions
• Strong SQL skills: The ability to write complex, optimized queries.
• Data Pipeline Development: Hands‑on experience leveraging Python for data pipelines and automation.
• ETL/ELT Design: Experience designing and executing ETL/ELT solutions in production.
• Data Modeling: Solid understanding of data warehousing concepts, dimensional modeling, and analytical data structures.
• Version Control: Experience with Git-based version control and CI/CD pipelines.

Nice to have experience

• Domain experience in the Fintech industry.
• Experience using AWS data services such as S3 and Glue.
• Strong problem-solving skills and the ability to troubleshoot complex data issues.
• Excellent communication and documentation skills.
• Ability to work independently and manage priorities in a fast‑paced environment.
• Collaborative mindset with the ability to work cross‑functionally.

Here are a few reasons why you will like working here

• Comprehensive Health Insurance - Medical coverage for eligible employees and their families (subject to benefits limit, policy terms and conditions)
• Life and Accident Insurance - Financial protection coverage for eligible employees
• Community Service Days - Paid time off for eligible employees to volunteer in their communities
• Tuition Reimbursement - Educational assistance program for eligible employees (subject to program guidelines and approval)
• Transfer Fee Reimbursement - Smooth transitions with reimbursement for any transfer‑related fees. We’ve got you covered.
• Employee Assistance Program - Confidential counseling and support services for eligible employees
• Employee Referral Program - Incentive program for employee referrals (subject to program terms)
• Remote work flexibility - Available for eligible roles with hybrid or remote work options

About MoneyGram MoneyGram is a global payments network built to move money across borders with speed, simplicity and trust. Its omnichannel platform empowers consumers, developers and agents to transfer cash, fiat and stablecoin however it works best for them. The company serves over 60 million customers a year across 200+ countries and territories, nearly half a million retail locations and a rapidly expanding digital ecosystem reaching billions of devices. As one of the most recognized and trusted names in global payments, MoneyGram continues to reinvent how money moves - helping people around the world support their loved ones and build better futures.