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BarkleyOKRP

Manager, Data Engineering

Kansas City, Missouri, United States +3

Location
Kansas City, Missouri, United States · Denver, Colorado, United States · Chicago, Illinois, United States and 1 more
Work
Remote
Employment
Not stated
Level
Manager
Function
Data & AI
Pay
$70K – $125K a year (read from the ad)
Posted
2 months ago

Pay and the market here

The top of this role’s range, $125K a year, is 40% below the median of $207K for manager data jobs in United States (middle half $163K – $270K, 352 jobs that state pay).

35 data jobs open in Kansas City: 29% remote, 5 posted in the last 30 days.

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About the role

MissionOne Media is a brand within BarkleyOKRP that combines full-funnel media planning and buying services, CRM, data, analytics, retail media, SEO, and digital experiences. We're an independent media partner offering transparency, integration, and a relentless focus on business impact.

As the Data Engineer, you will maintain, clean, and manipulate data in our operational and analytics databases. You will work with our data scientists, data analytics teams, reporting teams, and IT to understand and aid in the implementation of database requirements, analyze performance, and troubleshoot any existing issues.

Key Responsibilities

  • Design, develop, and maintain Google BigQuery data warehouse solutions.
  • Implement data pipelines and ETL processes to support data integration and analytics.
  • Work with Data Suppliers (technical) for receiving data feeds.
  • Validate data delivery from Data Suppliers to ensure data is aligned to expectations, resolving technical and data issues as they arise.
  • Collaborate with cross-functional teams to gather requirements and deliver data solutions.
  • Maintain operational documents to ensure they are current.
  • Create optimal data pipeline architecture, troubleshoot and resolve issues related to data integration and job scheduling.
  • Stay current with trends and best practices in Snowflake and AWS technologies.
  • Provide support and training to team members on Snowflake best practices.
  • Identify, design, and implement internal process improvements; automate manual processes; improve data delivery; and redesign infrastructure for greater scalability.

Qualifications

  • Bachelor's degree (or equivalent/above) in Computer Science or Information Technology.
  • Very strong in SQL. Must have 3-4+ years of experience working with SQL on large-scale datasets.
  • Must have experience in Cloud-based Data Engineering with design, implementation, and operationalization of large-scale data and analytics solutions, ideally Snowflake.
  • Experience with the Python programming language.
  • Must have experience with the ETL development life cycle, best practices for ETL pipelines, and thorough work experience with data warehouses using a combination of Python, BigQuery, and GCP Services.
  • Experience with marketing/advertising is a huge plus.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Must be able to work under pressure.

The annual gross base salary range is $70,000- $125,000 USD. This range represents the anticipated target salary range for this position. Actual salaries will vary and are based on factors such as a candidate’s qualifications, skills, and geographic location. Salary is one component of BarkleyOKRP's total compensation package, which includes multiple health insurance options, flexible PTO, life insurance, and 401K.

BarkleyOKRP’s Commitment to Diversity, Equity, Inclusion + Belonging

  • At BarkleyOKRP, DEI+B drives work that matters. We believe people and creativity are made of the same substance, and when every perspective is valued, the impact is stronger. We build belonging as a business strategy, power inclusive creativity that delivers measurable results, and hold ourselves accountable as a B Corp committed to progress over performative intent. When people are valued, the work carries greater impact.

Source

Posted by BarkleyOKRP on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 11:24 UTC; the original is the reference.

View the original ad ↗

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