{"id":3755248,"url":"https://alion.io/job/dimensional-fund-advisors-senior-data-engineer","title":"Senior Data Engineer","company":{"id":704274,"name":"Dimensional Fund Advisors","domain":"dimensional.com","url":"https://alion.io/company/dimensional-fund-advisors","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":10,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Charlotte, United States","Austin, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Ansible","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Okta","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Waterfall","optional":false}],"status":"live","first_seen_at":"2026-11-04T16:44:34Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T18:59:02Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Description:\nDimensional was built around a set of ideas bigger than the firm itself. With a confidence in markets, deep connections to the academic community, and a focus on implementation, we go where the science leads, and continue to pursue new insights, both large and small, that can benefit our clients.\nThe Technology Department at Dimensional leverages the rapidly evolving state of the art to engineer the platforms that power the innovative, research-driven financial and technical products to improve our client’s financial lives.\nAs a Senior Python Engineer within the Data Distribution team you will participate in the management of Dimensional’s enterprise investment data warehouse which supports Research, Portfolio management, Trading, and Analytic functions. You will have the opportunity to understand our client's needs, collaborate on the design of solutions, and work with emerging data engineering tools and best practices. In this role, you will design, develop, document, and test multiple application services focusing on building scalable data platform and services. You will also expand and optimize our data and data pipeline architecture. A successful candidate will demonstrate strong technical and analytical ability across multiple tech stacks as well as bring passion for optimizing and building data applications from the ground up.\nYou may be a fit for this role if you:\nAre open-minded, curious, and resourceful. \nLead with vision and purpose to bring about transformational change. \nAre passionate about/stay current with modern technologies/solutions. \nSolve problems systematically and transparently. \nShare ideas, solicit/integrate feedback, design and solve collaboratively. \nDemonstrate engineering and security mindsets. \nWhat you might work on:\nBuild and deliver investment data technology solutions in support of Research, Portfolio Management, Trading, Analytics and Reporting functions. \nFormulate, design, develop, test, and deliver data technology solutions with a balanced focus on speed and quality. \nCollaborate with business analysts, product owners, and project managers to develop user stories, estimates, and work plans. \nWork with minimal supervision and advise business clients and IT management of technology capabilities and recommend strategies to maximize the benefits of new technologies. \nIdentify, design, and implement changes to data pipelines at various stages including data ingestion, data validation, and quality control, data integration, storage, management, and data delivery. \nWrite unit/integration tests, contribute to engineering wiki, and write detailed documentation \nBuild high-performance and scalable data-transfer toolsets which reliably transfer datasets between endpoints within established SLA's. \nFocus on data consistency, refresh rates and caching requirements while keeping the data current across a variety of interfaces. \nBuild and enhance CI/CD pipelines and develop supportable solutions. Participate in code and design reviews. \nProvide technical troubleshooting and support for production systems. \nQualifications: \nBachelor’s degree in engineering, math, computer science, or a related field, or equivalent work experience. \n4-5 years of programming experience in Python (open source) or equivalent. \nProficiency in building RESTful APIs and web services. \n4-5 years of SQL experience. \nProven track record of leveraging SOLID principles and Domain Driven Design to drive successful outcomes. \nExperience in high performance and high availability data applications including expertise in performance optimization and tuning. \nExperience with automated acceptance testing and ability to write unit-tested, maintainable code. \nStrong understanding of cyber security risks and demonstrated ability to design and build highly secure applications. \nExperience working in a dynamic and interactive team environment to build world-class software implementations. \nKnowledge of best practices and IT operations in an always-up, always-available service. \nExperience working with both Agile/Scrum and waterfall methodologies with a software development and integration focus. \nPreferred Competencies: \nMaster’s degree in engineering, math, computer science, or a related field \nProficiency with NoSQL database implementation and optimization \nAbility to work on multiple programming languages and platforms is strongly preferred \nFinancial services industry knowledge or experience \nExperience with the following: \nKafka \nAirflow \nPostrgeSQL \nAnsible \nElastic Stack \nRabbitMQ \nRedis \nDocker \nOkta, OAuth2, PlainID \nDimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth.\nIt is the policy of the Company to provide equal opportunity for all employees and applicants. The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to actual or perceived race, color, religion, religious practice, creed, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), caregiver status, gender, gender identity, gender expression, transgender identity, national origin, age, mental or physical disability, ancestry, medical condition, marital status, familial status, domestic partnership status, military or veteran status or service, unemployment status, citizenship status or alienage, sexual orientation, status as a victim of domestic violence, status as a victim of stalking, status as a victim of sex offenses, genetic information, political activities or recreational activities, arrest or conviction record, salary history, natural hairstyle or any other status protected by applicable law except as otherwise required or 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