Senior Data Engineer

We believe that when the best of strategy and creativity come together, brands stand apart.

Carmichael Lynch is committed to creating a diverse, safe and welcoming workplace with opportunity for all. We strive for inclusion, equity and diversity in both our words and actions. BIPOC, women, marginalized communities, LGBTQIA+, veterans and persons with disabilities are encouraged to apply. To learn more, please visit:

• Professional Development (performance reviews 2x annually, training opportunities related to your field of development, one-on-ones with managers, etc.)
• We offer competitive, equitable salaries (reviewed annually to ensure equity and competitiveness)
• A strong, vibrant, continually-evolving Diversity, Equity and Inclusion belief (in thought and action), encompassing our agency and our Employee Resource Groups (ERGs). Recognizing the voices that need to be heard.
• Competitive, company and employee sponsored benefits, including:
  Medical, Dental, Vision, 401k (company matched 50% of first 6%), PTO (vacation/sick time) allowance, 18-week maternity leave, 12-week parental leave, 19 paid company holidays, Family Building Benefit (adoption, surrogacy benefit), tuition reimbursement and much more.

* Please note that these benefits only apply to full time roles

We see the office as a place to come together and do extraordinary things. Everyone local to our Minneapolis and Philadelphia offices are expected to work from the office on Tuesdays and Wednesdays each week.

As a Senior Engineer, you’ll work across a dynamic client roster finding, extracting, loading, and transforming data foundational to analysis and marketing decisions. You’ll be responsible for collaboration with other key analytics positions to provide an end-to-end view of measurement and performance for clients.

This role is fast-paced, collaborative, and ever-evolving: the right place for someone who wants to make an impact quickly and help shape the way data powers marketing decisions.

• Build and maintain data pipelines
  • Automate reporting pipelines with speed, accuracy, and scalability in mind.
  • Demonstrate best practices in data engineering and account for considerations specific to media and site data in every step of the automation process.
  • Write and optimize SQL views, Python/R scripts, and API connectors as needed.
  • Continually optimize data cleaning and anomaly detection processes.
  • Help manage and advance our GCP infrastructure, particularly with Big Query and GCP integrations.
• Own data quality and governance
  • Enforce naming conventions, dataset groupings, versioning, and access standards.
  • Maintain rigorous QA practices to ensure clean, reliable, and consistent data.
  • Continuously seek opportunities to improve processes and infrastructure.
• Proactively catch and investigate issues, finding root causes and going beyond surface solutions.
• Work with analysts to anticipate needs and ensure data is easy to find and use.
• Demonstrate situational awareness, knowing when to elevate, push or pull back, or execute.
• Communicate effectively with less technical stakeholders to address challenges and keep them updated on progress.
• Contribute to strategy
  • Help shape the roadmap for our data architecture and processes.
  • Identify opportunities to simplify, improve, and standardize workflows.
  • Occasionally support client conversations with technical expertise.

• You take ownership of data quality and availability like it’s mission critical.
• You already are, or have the drive to become, an expert in media data.
• You’re a problem solver who doesn’t stop at “it’s broken.” You figure out why and how to fix it.
• You balance speed and accuracy, knowing both matter in a client-driven environment.
• You’re adaptable, resourceful, and curious. You’re able to figure things out with limited direction. Learning new things and finding creative solutions are some of your favorite parts of your job.

• Education:
  • A bachelor’s degree preferred or equivalent work experience in related field such as Computer Science, Data Science, Mathematics/Statistics, Marketing Analytics, etc.
• Sk…