PMG Logo

PMG

Data Engineer III

Posted Yesterday
Be an Early Applicant
Easy Apply
In-Office
Boston, MA, USA
Senior level
Easy Apply
In-Office
Boston, MA, USA
Senior level
The Data Engineer III designs, builds, and maintains scalable data pipelines and systems, ensuring data quality and supporting integration. They collaborate with cross-functional teams and mentor early-career engineers, optimizing data workflows and implementing automation for insights generation.
The summary above was generated by AI

We are PMG

Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies.

Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries.

Who You Will Be Working With

The Data Engineer III plays a critical role in designing, building, and maintaining core systems that power PMG's data and AI ecosystem. This position focuses on developing and optimizing scalable data pipelines, managing data ingestion and transformation processes, and supporting the integration of internal and external data sources.

You’ll work closely with engineers, data analysts, and product teams to ensure the reliability, performance, and accessibility of data that drives insights and intelligent automation across the organization. The role is ideal for someone who thrives at the intersection of software engineering, data infrastructure, and AI-driven innovation.

What You’ll Be Doing

Data Systems & Pipeline Development

  • Design, build, and maintain scalable data ingestion systems connecting multiple internal and external data sources.
  • Develop and manage data workflows across cloud-based platforms such as AWS S3 and Snowflake.
  • Implement robust ELT pipelines using modern tools and frameworks (e.g. dbt, Snowflake etc).
  • Ensure data quality, integrity, and consistency across systems, implementing validation and monitoring mechanisms.
  • Collaborate on infrastructure-as-code deployments and CI/CD for data systems.

Software Engineering & Architecture

  • Contribute to the design and implementation of APIs and internal services that support PMG’s broader product ecosystem.
  • Write clean, efficient, and testable code in modern languages (with a focus on Python).
  • Apply software engineering best practices — including version control, testing, observability, and deployment automation.
  • Participate in code reviews and architectural discussions, surfacing potential risks or improvements.
  • Integrate AI and automation techniques into engineering workflows where applicable, improving efficiency and insight generation.
  • Develop and maintain datasets and transformations that power analytics, dashboards, and data science use cases.

Collaboration & Mentorship

    • Work cross-functionally with product, technology, and commercial teams to translate requirements into technical solutions.
    • Mentor early-career engineers by providing code feedback, technical guidance, and documentation support.
    • Contribute to improving team processes, standards, and tooling for long-term scalability.
    • Communicate effectively with both technical and non-technical stakeholders.
    • Identify opportunities to leverage automation and AI tools to streamline data operations and decision-making.
    • Partner with analytics and product teams to ensure data is accurate, timely, and actionable for reporting and business intelligence.

What You Will Bring

Required

  • 5+ years of experience in software or data engineering, with strong coding skills in Python or a similar language.
  • Demonstrated experience designing, implementing, and maintaining data pipelines (ETL/ELT).
  • Proficiency with SQL and data modeling for analytics and warehousing.
  • Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, or similar).
  • Familiarity with cloud services (AWS preferred, including S3, Lambda, ECS, EC2, etc.).
  • Experience with dbt or equivalent data transformation frameworks.
  • Strong problem-solving skills, attention to detail, and ownership mindset.
  • Experience with workflow orchestration tools such as dbt Cloud or Airflow.
  • Experience scaling production data ingestion systems
  • Exposure to DevOps and CI/CD practices for data or application deployments.
  • Experience in a marketing, analytics, or SaaS environment.
  • Experience with SaaS-based data manipulation tools such as Fivetran or Stitch

What Success Looks Like

  • You independently own and deliver critical data systems and services that power AI and analytics across the organization.
  • You proactively identify and implement improvements to data reliability, performance, and automation.
  • You contribute to the culture of technical excellence and continuous learning within the engineering team.
  • Your work accelerates PMG’s ability to use data and AI to deliver smarter, faster, and more efficient solutions.

What We Offer

  • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
  • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones.
  • Parental Leave: We provide paid parental leave to support your family during important life events.
  • Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching.
  • Fertility and Family Support: Access fertility benefits for all team members and their spouses.
  • Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography.
  • Pet Insurance: Protect your pet's health and your finances.
  • Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being.
  • Commuter Benefits: Access support for travel and commuting needs, where available.
  • Annual Bonus: All employees are eligible for an annual bonus.
  • Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities.
  • AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety.

Benefits vary by country, location, and geography to reflect local laws, norms, and expectations.

What Sets Us Apart

Being part of PMG means joining a company culture that’s unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way.

In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Top Skills

Airflow
AWS
BigQuery
Dbt
Fivetran
Python
Redshift
Snowflake
SQL
Stitch

PMG Cambridge, Massachusetts, USA Office

20 University Road, Suite 500, Cambridge, MA, United States, 02138

Similar Jobs

2 Hours Ago
Remote or Hybrid
United States
129K-212K Annually
Senior level
129K-212K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior Data Engineer develops and maintains data pipelines, evaluates business requirements, integrates data, ensures quality, and collaborates with teams to fulfill data infrastructure needs.
Top Skills: AWSAzureBig Data ProcessingEtl FrameworksGCPKafkaKubernetesNoSQLPythonScalaSparkSQL
9 Days Ago
Hybrid
Mid level
Mid level
Fintech • Financial Services
The Data Engineer III role involves designing and building scalable data pipelines on Azure Databricks, migrating legacy systems, and ensuring compliance with financial regulations, while mentoring others and producing technical documentation.
Top Skills: AdfAdls Gen2Azure DatabricksAzure SqlDelta LakeEvent HubsKafkaMlflowPysparkRest ApisSynapse AnalyticsUnity Catalog
25 Days Ago
Hybrid
Mid level
Mid level
HR Tech
As a Software Engineer in Test III, you will design and implement tests for data pipelines, enhance data quality, and collaborate with cross-functional teams to validate analytics solutions.
Top Skills: AirflowAzureBigQueryDbtGreat ExpectationsLookerMicrosoft FabricMonte CarloMs SqlPower BIPythonRedshiftSnowflakeSQLTableau

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account