{"id":2275731,"url":"https://alion.io/job/personify-health-data-operations-engineer","title":"Data Operations Engineer","company":{"id":721,"name":"Personify Health","domain":"personifyhealth.com","url":"https://alion.io/company/personify-health","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tempe, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":84000,"max":87000,"currency":"USD","period":"year","gross":null,"usd_annual":87000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Bitbucket","optional":true},{"name":"CI/CD","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"Linux","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-11T09:16:41Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T23:22:54Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Overview\nWho We Are\nBecause health is personal. That's why Personify Health created the first and only personalized health platform-bringing health plan administration, holistic wellbeing solutions, and comprehensive care navigation together in one place. We serve employers, health plans, and health systems with data-driven solutions that reduce costs while actually improving health outcomes. Together, our team is on a mission to empower people to lead healthier lives.\nThis role is On-Site in Tempe, AZ\nLearn even more about the work that drives us at personifyhealth.com.\nResponsibilities\nWhat You'll Actually Do\nData Operations Engineer supports the development and maintenance of data systems used in healthcare and TPA claims processing. This role assists with building and troubleshooting data pipelines, ensuring data accuracy across on-prem and cloud environments, and collaborating with senior engineers, analysts, and business teams. Approximately 50% of the role involves handling support tickets, including diagnosing pipeline issues, addressing data quality concerns, and responding to user requests. This position is ideal for someone early in their data engineering career with minimum 2 years of experience who is eager to learn and grow technical skills in ETL/ELT, SQL, and data workflows while contributing to operational and analytical needs across the organization.\nQualifications\nWhat You Bring to Our Team\nEssential Functions/Responsibilities/Duties\nAssist in maintaining and troubleshooting ETL/ELT data pipelines used for healthcare and TPA claims processing.\nWork with Python and SQL to support data extraction, transformation, validation, and loading across on-prem and cloud environments.\nHelp monitor pipeline performance and resolve data issues, including reviewing logs, investigating failed jobs, and correcting data discrepancies.\nHandle support tickets (~50% of the time), responding to user requests, researching data questions, and helping resolve operational data problems.\nSupports daily process monitoring, including checking production processes and/or jobs, application performance, application maintenance, etc.\nSupport data management tasks in systems such as PostgreSQL, Oracle, and cloud-based databases.\nWork with senior team members to learn data workflows, healthcare data formats, file transfers, and reporting processes.\nAssist in maintaining data quality and accuracy through routine checks, documentation, and follow-up.\nCollaborate with Data Analysts, Developers, and business users to understand data needs and support ongoing reporting and data operations.\nParticipate in team meetings, sprint activities, and knowledge-sharing to continue developing data engineering skills.\nRequired Knowledge, Skills, and Abilities\nAWS Certification (or willingness to obtain within 6-12 months), such as AWS Cloud Practitioner or AWS Developer - Associate.\n2-3 years of experience in data engineering, analytics engineering, or a related technical role.\nProficiency in Python and SQL, including writing queries, joins, basic transformations, and troubleshooting.\nHands-on experience with relational databases (PostgreSQL, Oracle, AWS RDS) and familiarity with basic data warehouse concepts.\nSome exposure to cloud environments (AWS, Azure, ) is preferred but not required.\nUnderstanding of ETL/ELT pipelines, data validation, and data quality monitoring.\nExperience handling support tickets or operational data issues is strongly preferred (~50% of role).\nBasic knowledge of Linux command line for navigating servers and running scripts.\nFamiliarity with collaboration tools such as JIRA and Git/Bitbucket.\nStrong attention to detail and focus on data accuracy and reliability.\nEffective written and verbal communication skills; able to document findings and processes.\nDemonstrated ability to manage time, prioritize tasks, and follow through on commitments.\nCollaborative mindset, able to work with both technical and non-technical team members.\nSelf-motivated, able to prioritize tasks, and eager to learn from senior team members.\nInterest in developing skills in ETL workflows, data pipelines, and cloud data environments over time.\n\nNice to Have (Not Required):\nExperience with healthcare EDI formats (e.g., 834, 835, 837, 999).\nExposure to AWS services (e.g., S3, RDS, Lambda) or cloud-based data tools.\nExperience with orchestration tools (Airflow), containers (Docker), or CI/CD pipelines.\nFamiliarity with relational databases such as PostgreSQL, Oracle, or AWS RDS.\nFamiliarity with AWS services (S3, RDS, Lambda, Glue) or modern data warehouses (Redshift, Snowflake).\nBasic understanding of data modeling concepts (star/snowflake schemas, dimensional modeling).\nWork Environment\nAt Personify Health we value and celebrate diversity and we are committed to creating an inclusive environment for all employees. We believe in creating teams made up of individuals with various backgrounds, experiences, and perspectives. Why? Because diversity inspires innovation, collaboration, and challenges us to produce better solutions. But more than this, diversity is our strength, and a catalyst in our ability to change lives for the good.\nDisclaimer\nThis job description is not intended to contain a comprehensive list of activities, duties, or responsibilities, but constitutes a general description of the scope and function of the role within the company. Activities, duties, and responsibilities are subject to change at any time with or without notice.\nBenefits\nThe Highlights:\nCompetitive base salary and benefits effective day one\nComprehensive medical and dental through our own health solutions (yes, we use what we build)\nUnlimited PTO-rest and recharge time is non-negotiable\nMental health support, retirement planning, and financial protection\nProfessional development with clear career progression and learning budgets\nMission-driven culture where diverse perspectives drive real impact on people's health\nWant the full picture? Visit personifyhealthbenefits.com to explore our complete benefits package, wellness programs, and other employee perks.\nCompensation: This position offers a base salary range of $84,000-$87,000, depending on location, skills, and experience. You're eligible for our full benefits package starting day one.\nOur Commitment: Personify Health is an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive-because diversity is core to who we are and critical to our work in health and wellbeing.\nStay Safe: Personify Health will never ask for payment or sensitive personal information like social security numbers during hiring. All official communication comes from verified company email addresses and or our secure applicant tracking system. Suspicious requests? Report them to . View all legitimate openings at personifyhealth.com/careers.","description_format":"text","description_chars":7009,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Professional development","Retirement plans","Unlimited PTO","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development","Digital Mental Health"],"lifecycle":[{"event":"open","at":"2026-10-11T09:16:41Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["conf:2","win:early","comp:junior"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":87000,"is_top_pay":false},"html_url":"https://alion.io/job/personify-health-data-operations-engineer","json_url":"https://alion.io/job/personify-health-data-operations-engineer.json","meta":{"generated_at":"2026-10-13T00:44:21Z","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":1251,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":721},"rest":"https://alion.io/mcp/rest/get_company?id=721"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpersonify-health-data-operations-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%2Fpersonify-health-data-operations-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%2Fpersonify-health-data-operations-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/personify-health-data-operations-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersonify-health-data-operations-engineer"}]}