{"id":4334367,"url":"https://alion.io/job/teamstation-sr-data-engineer-databricks","title":"Sr Data Engineer - Databricks","company":{"id":2889395,"name":"TeamStation","domain":"teamstation.dev","url":"https://alion.io/company/teamstation","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"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":[],"countries":[],"hiring_countries":["AR","BR","CO","MX","BO","CL","CR","CU","DO","EC","SV","GT","HN","NI","PA","PY","PE","PR","UY","VE"],"hiring_countries_total":20,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Google BigQuery","optional":true},{"name":"MS SQL","optional":true},{"name":"SQL","optional":true},{"name":"SSIS","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2023-06-29T00:00:00Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T10:08:53Z","board_verified":true,"closed_at":null,"days_open":1235,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1235},"description":"At TeamStation AI, we are on a mission to bring together the brightest minds to solve tomorrow’s toughest technology challenges.\nOur work is about more than just AI-it’s about building the future through collaboration and innovation.\nWe believe that the key to solving the world’s most complex problems lies in aligning diverse talents and perspectives. Our AI-powered platform enables cutting-edge scientific and technical teams to work smarter, faster, and together. By joining us, you’ll help unlock new technological breakthroughs and drive innovation where it matters most.\nJoin the Mission at TeamStation AI!\nWhere do we come from?\nWe are seeking visionaries, innovators, and problem solvers who thrive in fast-paced, collaborative environments. If you’re passionate about AI, technology, and solving critical challenges, we want to hear from you. Come be part of a team where your ideas can drive the future.\nIdeal Skillset\nDatabricks\nDBT\nPrefect\nU.S. Client Facing\nNice to Have\nMicrosoft SQL Server + SSIS\nDevOps Experience (i.e., Terraform)\nContinuous Integration + Continuous Deployment\nMain Responsibilities\nDesign and build data pipelines: Develop and implement data ingestion pipelines from multiple sources using tools like Azure Databricks, DBT, and Prefect\nData analysis and support data-driven decision-making: Perform data analysis using BigQuery, SQL, or other tools to support data-driven decision-making within the organization.\nCollaborate with cross-functional teams: Work closely with various teams to identify and prioritize data needs, ensuring efficient communication and collaboration.\nManage and optimize data warehouse processes: Oversee and improve data warehouse processes, including extraction, transformation, and consolidation of data stored in different SQL databases.\nDevelop scalable and reusable frameworks: Create scalable and reusable frameworks for ingesting data sets, managing data pipelines, and maintaining data quality and consistency\nJob Requirements\nBachelor's degree in Computer Science, Engineering, or a related field\nProficiency in Databricks, DBT, and Prefect\nExperience with Microsoft SQL Server, SSIS, and DevOps tools like Terraform is a plus\nStrong analytical and problem-solving skills\nExcellent communication and collaboration skills\nAbility to work independently and as part of a team\nAs a Data Engineer, you will be responsible for designing and building data pipelines, analyzing data to support data-driven decision making, collaborating with cross-functional teams, managing and optimizing data warehouse processes, and developing scalable and reusable frameworks. You will work with tools like Databricks, DBT, and Prefect to create efficient data pipelines and support the organization's data needs. Your expertise in Microsoft SQL Server, SSIS, and DevOps tools like Terraform will be an added advantage. 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