{"id":3026177,"url":"https://alion.io/job/rocket-companies-staff-data-engineer","title":"Staff Data Engineer","company":{"id":1967610,"name":"Rocket Companies","domain":"rocket.com","url":"https://alion.io/company/rocket-com","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":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Los Angeles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":128500,"max":276000,"currency":"USD","period":"year","gross":null,"usd_annual":276000},"salary_estimate":null,"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Incident Management","optional":false},{"name":"Linux","optional":false},{"name":"Power BI","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-25T00:00:00Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-22T03:58:41Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":59},"description":"The Staff Data Engineer is an expert data handler and developer who has demonstrated their capacity for solving problems of broad scope that support the success of their value stream. The Staff Data Engineer provides technical leadership in the design, architecture, and evolution of enterprise data platforms and solutions. They apply data management principles to create robust, scalable, and secure pipelines, while enabling analytical and operational use cases that power business decisions and customer experiences.\nAs a senior-most engineer, they set technical direction, establish standards, and partner with cross-functional stakeholders. They lead critical initiatives, mentor engineers at multiple levels, and influence the long-term data strategy of the organization. They are also comfortable providing technical leadership across distributed and offshore teams, ensuring consistent engineering quality, clear decision-making, and effective execution.\nAbout therole\nArchitect and evolve enterprise-scale data pipelines and platforms to support batch, real-time, and event-driven use cases.\n\nCollaborate with stakeholders to gather requirements, frame technical tradeoffs, and shape data solutions that align with business priorities and long-term architectural direction.\n\nLead design and development of tabular and dimensional models across multiple business domains.\n\nBuild and optimize large-scale distributed data processing jobs with a focus on scalability, fault-tolerance, and cost-efficiency.\n\nEstablish and enforce best practices for data quality, governance, and observability across pipelines and systems.\n\nDrive root-cause analysis for complex, systemic data issues and lead efforts to prevent recurrence.\n\nLead and oversee code reviews with a focus on scalability, maintainability, and enterprise-grade quality.\n\nInfluence and align data architecture strategy across hybrid environments (on-premises, multi-cloud, and SaaS).\n\nDefine and implement standards for CI/CD, security, monitoring, and incident management for data systems.\n\nLead adoption of modern data engineering practices and tooling, including workflow orchestration, automated testing, CI/CD, data quality controls, and observability.\n\nAnticipate upstream and downstream impacts and design solutions to minimize risk and breakages in interconnected pipelines.\n\nMonitor and improve performance of large-scale data environments, including cloud cost optimization.\n\nServe as technical escalation point for the most critical data incidents and participate in on-call rotations.\n\nProvide on call support in standard rotation with other team members, to identify priority incidents\n\nMentor and coach engineers across teams, developing talent and building a culture of engineering excellence.\n\nProvide technical leadership to distributed and offshore engineering teams through architecture guidance, code reviews, operational rigor, and clear communication across time zones.\n\nCollaborate with leadership to identify and prioritize technical debt, architectural improvements, and process enhancements.\n\nEvaluate and introduce new technologies by staying up to date on industry trends and assessing organizational fit.\n\nRepresent data engineering in cross-team forums, presenting strategy, challenges, and innovations to both technical and business stakeholders.\n\nAboutyou\nMinimum Qualifications\n9 years of experience or equivalent competency building data solutions, including relational and non-relational databases, and supporting implementation and maintenance of batch and real-time data pipelines using cloud services\n\n7 years of experience or equivalent competency in dimensional or tabular data modeling, including leading design reviews.\n\nDeep expertise designing and architecting complex data transformation pipelines across multiple domains and systems, and guiding technical decisions in partnership with stakeholders to align solutions with business goals.\n\nExperience with CI/CD, automated deployments, and DevOps best practices at scale.\n\nExpertise writing and optimizing complex SQL queries in high-volume environments.\n\nExpertise performance tuning queries and debugging and troubleshooting large-scale distributed data processing jobs (ETL, ELT, streaming).\n\n7 years of experience in Python development, including designing, deploying, and maintaining serverless/cloud-native services such as AWS Lambda.\n\nExperience building pipelines to integrate with APIs\n\nExperience orchestrating complex data workflows with platforms such as Airflow, Dagster, Prefect, or similar workflow orchestration tools.\n\nKnowledge of Linux system administration, shell scripting, and networking at scale.\n\nHands-on experience with PowerBI or similar reporting tools\n\nExperience with cloud data warehouses - preferably Snowflake\n\nPreferred Qualifications\nBachelor’s or master’s degree in computer science, information technology, or a related field (or equivalent competency).\n\nExperience defining disaster recovery and backup policies for enterprise-scale data platforms.\n\nProven track record of mentoring, growing, and technically leading engineers across multiple teams.\n\nExperience influencing data engineering strategy, architecture, and standards across an organization.\n\nExperience evaluating and integrating emerging data technologies into production environments.\n\nExperience working with and technically leading offshore engineering teams, including setting expectations, reviewing design and implementation quality, and driving strong cross-time-zone collaboration.\n\nWhatyou’llget\nOur team members fuel our strategy,innovationand growth, so we ensure the health and well-being of not just you, but your family, too! We goabove and beyondto give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put:We’vegot your back. Check out our full list ofBenefits and Perks.\nAboutus\nRocket is a Detroit-based company made up of businesses that provide simple,fastand trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage®, which was founded in 1985. Today,we’rea publicly traded company involved in many different industries, including mortgages, fintech, realestateand more.We’reinsistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard.Apply today to join a team that offers career growth, amazingbenefitsand the chance to work with leading industry professionals.\nThis job description is an outline of the primary responsibilities of this position and may bemodifiedat the discretion of thecompany at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. Thecompany provides reasonableaccommodationsto qualified individuals with disabilitiesin accordance withapplicable state and federal laws. Applicantsrequiringreasonable accommodations in completing the application and/orparticipatingin the application process should contact a member of the Human Resources team, .\nThe compensation information below is provided incompliancewithall applicablejob posting disclosure requirements. The compensation for this position is$128,500.00-$276,000.00.The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan,andpaid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is the company’s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.","description_format":"text","description_chars":8730,"description_truncated":false,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate Brokerage","Personal Finance Apps & Education","Mortgage Lending & Brokers"],"lifecycle":[{"event":"open","at":"2026-10-21T19:09:15Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.637,"p_room":0.28,"age_days":59,"expected_fill_days":23,"reasons":["conf:25","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":276000,"is_top_pay":true},"html_url":"https://alion.io/job/rocket-companies-staff-data-engineer","json_url":"https://alion.io/job/rocket-companies-staff-data-engineer.json","meta":{"generated_at":"2026-10-23T11:19:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":17176,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1967610},"rest":"https://alion.io/mcp/rest/get_company?id=1967610"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frocket-companies-staff-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frocket-companies-staff-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frocket-companies-staff-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/rocket-companies-staff-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frocket-companies-staff-data-engineer"}]}