{"id":1627149,"url":"https://alion.io/job/ryan-companies-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2092330,"name":"Ryan Companies","domain":"ryancompanies.com","url":"https://alion.io/company/ryancompanies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":13,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-02T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Minneapolis, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":144000,"currency":"USD","period":"year","gross":null,"usd_annual":144000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-03T00:00:00Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-02T22:31:09Z","board_verified":true,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":30},"description":"Job Description:\nRyan Companies has an immediate need for a Senior Data Engineer. This is a 4-days-per-week IN-OFFICE opportunity for our Minneapolis headquarters, providing 1 day work-from-home each week.\nThe Senior Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies. This role will focus on developing scalable, reliable data pipelines that ensure the quality, accessibility, and performance of data used across all of Ryan Companies.\nThe successful candidate will work cross-functionally with data architects, AI/ML engineers, data scientists, analysts, and domain experts to design and implement modern data engineering solutions.\nWith more than 88 years in business and 16 offices (and growing!), Ryan offers comprehensive commercial real estate solutions to customers across the US. We bring a collaborative, relationship-driven approach to delivering spaces where people thrive and businesses succeed. Join a company with an outstanding culture and competitive benefits. At Ryan, we don’t just build buildings - we build stories.\nSome things you can expect to do:\nData Architecture and Modeling\nArchitect, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), utilizing services like BigQuery, Dataflow, and Cloud Storage to handle diverse data sources (e.g., project systems, safety logs, IoT/sensor data).\n\nDesign and implement effective data models, including star schemas and dimensional modeling, to support business intelligence and analytics.\n\nDevelop and manage data warehousing solutions to ensure efficient data storage, retrieval, and cost-effectiveness.\n\nContribute to metadata management, data cataloging, and lineage tracking to enhance the discovery and transparency of enterprise data assets.\n\nData Pipeline Development and Management\nDesign and orchestrate robust ETL/ELT processes and data integration workflows using tools like Cloud Composer or Apache Airflow.\n\nImplement and manage both batch and real-time data streaming pipelines to ensure timely and accurate data availability for downstream applications.\n\nWrite clean, efficient, and well-documented Python and SQL code to process and transform large, complex datasets.\n\nMonitor, troubleshoot, and optimize data pipeline performance, identifying and resolving bottlenecks to improve efficiency and scalability.\n\nData Quality and Governance\nImplement and maintain data quality frameworks to ensure the accuracy, consistency, and reliability of data across all systems.\n\nDevelop and implement data validation and testing procedures to maintain the highest standards of data integrity.\n\nEstablish and enforce data governance policies and best practices, ensuring all data handling is secure, private, and compliant with regulations.\n\nPlatform Engineering and Automation\nBuild and maintain CI/CD pipelines for the automated testing and deployment of data engineering workflows.\n\nSupport the deployment and monitoring of machine learning models by implementing reproducible and traceable data environments.\n\nPartner with DevOps and Technology teams to automate infrastructure provisioning, CI/CD processes, and data quality monitoring.\n\nCollaboration and Leadership\nPartner with Enterprise Architects, Solution Architects, data scientists, and analysts to understand data needs, design technical solutions, and translate business requirements into architectural designs.\n\nLead the implementation of data solutions, from discovery and design through to deployment.\n\nProvide mentorship and guidance to other data engineers, fostering a culture of knowledge sharing and continuous improvement.\n\nCreate and maintain clear documentation for architecture, schemas, and pipeline workflows to support team knowledge and onboarding.\n\nSome things we expect you to have:\nBachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field.\n\n5+ years of professional experience in data engineering or a similar role.\n\nStrong programming skills in Python, SQL, with experience using tools such as Cloud Composer.\n\nProven experience designing and maintaining data pipelines using platforms such as GCP, AWS, Azure or similar.\n\nYou will set yourself apart if you have:\nExperience building data infrastructure and services in cloud-native environments (GCP preferred, with exposure to AWS).\n\nFamiliarity with MLOps or experience supporting machine learning pipelines in production environments.\n\nExposure to domain-driven architecture.\n\nStrong collaboration and communication skills with a track record of partnering across functions to deliver high-impact solutions.\n\nCompensation:\nThe base pay range is $115,000 - $144,000/Annually. The salary may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission and/or an incentive program.\nEligibility:\nPosition requires verification of employment to work in the U.S.\nBenefits:\nCompetitive Salary\n\nMedical, Dental and Vision Benefits\n\nRetirement and Savings Benefits\n\nFlexible Spending and Health Savings Accounts\n\nLife Insurance\n\nShort-Term and Long-Term Disability\n\nEducational Assistance\n\nPaid Time Off (PTO)\n\nEmployee Assistance and Wellness Programs\n\nParenting Benefits\n\nEmployee Discount Programs\n\nPet insurance\n\nRyan Foundation - charitable matching funds\n\nPaid Time for Volunteer Events\n\nDisclaimer: Eligibility may vary based on factors such as role, hours worked, employment status, length of service, location, and other considerations. Detailed information will be shared with eligible candidates during the hiring process, and the official terms and conditions will be outlined in each individual offer document.\nRyan Companiesis an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.\nNotice to Candidates:\nPlease be advised that initial outreach regarding employment at Ryan Companies will only occur via email from the domain @ryancompanies.comemail address. If you recieve communication from someone you believe is impersonating Ryan Companies, please report it to us at \n Non-Solicitation Notice to Recruitment Agencies:\nRyan Companies kindly requests that recruitment agencies and third-party recruiters do not submit unsolicited resumes or candidate information to any Ryan Companies employee or office. Ryan Companies will not be responsible for any fees or expenses associated with unsolicited submissions. If recruitment services are required, we will reach out directly to agencies on our approved vendor list. We appreciate your understanding and cooperation.","description_format":"text","description_chars":6891,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate","Science & Engineering","Property Management"],"lifecycle":[{"event":"open","at":"2026-10-01T21:04:13Z"}],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.506,"p_room":0.75,"age_days":29,"expected_fill_days":30,"reasons":["conf:8","stale_co","win:late","comp:brand"],"computed_at":"2026-10-02T05:45:00Z"},"pay":{"stated_usd_annual":144000,"is_top_pay":false},"html_url":"https://alion.io/job/ryan-companies-senior-data-engineer","json_url":"https://alion.io/job/ryan-companies-senior-data-engineer.json","meta":{"generated_at":"2026-10-03T00:31:41Z","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":144,"day_limit":5000,"remaining_today":4856,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}