{"id":1371795,"url":"https://alion.io/job/barkleyokrp-manager-data-engineering","title":"Manager, Data Engineering","company":{"id":1800078,"name":"BarkleyOKRP","domain":"barkleyokrp.com","url":"https://alion.io/company/barkleyokrp","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kansas City, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":70000,"max":125000,"currency":"USD","period":"year","gross":true,"usd_annual":125000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-20T13:43:01Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-09-30T22:49:36Z","board_verified":true,"closed_at":null,"days_open":41,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":41},"description":"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.\nAs 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.\nKey Responsibilities:\nDesign, develop, and maintain Google BigQuery data warehouse solutions.\nImplement data pipelines and ETL processes to support data integration and analytics.\nWork with Data Suppliers (technical) for receiving data feeds.\nValidate data delivery from Data Suppliers to ensure data is aligned to expectations, resolving technical and data issues as they arise.\nCollaborate with cross-functional teams to gather requirements and deliver data solutions.\nMaintain operational documents to ensure they are current.\nCreate optimal data pipeline architecture, troubleshoot and resolve issues related to data integration and job scheduling.\nStay current with trends and best practices in Snowflake and AWS technologies.\nProvide support and training to team members on Snowflake best practices.\nIdentify, design, and implement internal process improvements; automate manual processes; improve data delivery; and redesign infrastructure for greater scalability.\nQualifications:\nBachelor's degree (or equivalent/above) in Computer Science or Information Technology.\nVery strong in SQL. Must have 3-4+ years of experience working with SQL on large-scale datasets.\nMust have experience in Cloud-based Data Engineering with design, implementation, and operationalization of large-scale data and analytics solutions, ideally Snowflake.\nExperience with the Python programming language.\nMust 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.\nExperience with marketing/advertising is a huge plus.\nExcellent problem-solving skills and attention to detail.\nStrong communication and collaboration skills.\nMust be able to work under pressure.\nThe 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. \nBarkleyOKRP’s Commitment to Diversity, Equity, Inclusion + Belonging\nAt 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.","description_format":"text","description_chars":3318,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Health insurance","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Media & Entertainment","Creative Agencies","Insurance Brokers & Agencies"],"lifecycle":[{"event":"open","at":"2026-09-28T04:16:49Z"}],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.825,"p_room":0.75,"age_days":41,"expected_fill_days":44,"reasons":["conf:6","velocity","win:late"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":125000,"is_top_pay":false},"html_url":"https://alion.io/job/barkleyokrp-manager-data-engineering","json_url":"https://alion.io/job/barkleyokrp-manager-data-engineering.json","meta":{"generated_at":"2026-10-01T11:23:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3010,"day_limit":5000,"remaining_today":1990,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}