{"id":1608442,"url":"https://alion.io/job/capital-bank-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2088108,"name":"Capital Bank","domain":"capitalbankmd.com","url":"https://alion.io/company/capitalbankmd","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":53,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":115000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Apache NiFi","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitLab","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Sisense","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Talend","optional":false},{"name":"Agile","optional":true}],"status":"closed","first_seen_at":"2026-05-14T21:33:33Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-09T17:01:05Z","board_verified":false,"closed_at":"2026-10-09T17:01:05Z","days_open":147,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":146},"description":"About Us\nCapital Bank N.A. is headquartered in Maryland and has been serving our communities since 1999. We stand as a publicly traded company (NASDAQ: CBNK) with over $3 billion in assets. We offer commercial and consumer banking services to clients primarily in Maryland, DC, and Northern Virginia, alongside two nation-wide lending brands; Capital Bank Home Loans and OpenSky, a credit card division that offers and services credit cards across all states. Our personalized approach to banking, paired with cutting-edge technology solutions and a comprehensive suite of products and services, fuels our growth, and enables us to support our customers at every stage in their financial journey.\nCome join a bank where our employees thrive and are engaged in meaningful work. For the last 6 out of 7 years, Capital Bank was named one of the \"Best Banks to Work For\" in the U.S. by American Banker.\nPosition Purpose\n As part of the Technology team, the Senior Data Engineer will act as a subject matter expert (SME) responsible for managing, designing, and optimizing enterprise data pipelines and database solutions that support all lines of business at Capital Bank, including our Commercial Bank, Consumer Card division, and Mortgage division. This role owns end-to-end delivery and operations across our primary technology stack (Azure, SQL Server, and Snowflake), ensuring scalable, secure, and high-performance data platforms, reliable integrations with enterprise systems, and strong data governance. The Senior Data Engineer will build and optimize ETL/ELT processes, data lake and data warehouse solutions, and data transfer/file processing workflows to enable trusted analytics and reporting across the bank.\nPosition Responsibilities\nServe as the expert for ETL and DB solutions, collaborating with business stakeholders and IT teams to define requirements, gather data, and implement optimized data solutions.\nDesign, implement, and maintain data systems in Snowflake to ensure data scalability and accessibility.\nImplement and manage data lakes and data warehouses, creating pipelines and data models to enable efficient analytics and reporting.\nEstablish and document strategies for managing data transfer processes, including secure file transfers (SFTP), batch data processing, and real-time streaming.\nBuild and optimize ETL pipelines for data extraction, transformation, and loading into operational databases or analytical platforms.\nIntegrate and support data visualization tools such as Power BI, Sisense, Google Looker, Tableau, or similar platforms to enable actionable insights for business stakeholders.\nDevelop and maintain optimized data models for dashboards and reporting, ensuring compatibility with visualization tools.\nPlan, coordinate, and implement database migrations, upgrades, and patches with minimal downtime.\nDefine and enforce database governance policies, including data integrity, security, and compliance with regulatory requirements.\nAnalyze and resolve database performance issues by optimizing queries, indexes, and schema designs.\nPartner with vendors to evaluate, select, and implement database tools, services, and technologies; stay informed about product roadmaps and industry trends.\nDevelop disaster recovery and high-availability solutions, including replication, clustering, and failover.\nMinimum Education & Experience\nBachelor’s degree or higher in Computer Science, Information Systems, or a related field.\n6+ years of experience in data engineering, ETL, database management with experience in cloud-based databases and financial services preferred.\nExperience in Database Administration (DBA), managing and optimizing databases for performance and security.\n3+ years of experience designing and building data lakes and data warehouses using platforms like Azure Fabrik, Snowflake, Amazon Redshift, or Google BigQuery.\n2+ years of experience using data visualization tools like Power BI, Sisense, Google Looker, Tableau, or similar platforms.\nExperience with managing data transfers and file processes, including SFTP, secure data pipelines, and real-time or batch data movement.\nExperience in proactively identifying, addressing, and monitoring data quality issues, adhering to established data quality standards.\nExcellent communication skills and the ability to collaborate effectively across teams and stakeholders, explain technical concepts to non-technical stakeholders.\nTechnical Knowledge and Skills\nExpertise in cloud-based database platforms, such as Azure SQL, Amazon RDS, Google Cloud Spanner, and Snowflake.\nStrong knowledge of data lake and data warehouse architectures, including designing efficient schemas, partitioning strategies, and optimizing storage.\nProficiency with data integration tools and technologies, such as Apache Kafka, Apache Spark, Talend, or Informatica.\nHands-on experience building and maintaining ETL pipelines to support large-scale data environments.\nAdvanced SQL skills and familiarity with programming languages like Python or Java for data manipulation and automation.\nExperience with data visualization platforms, including building and optimizing dashboards using Sisense, Power BI, Google Looker, Tableau, or similar tools.\nExperience with CI/CD tools (e.g., GitLab, Azure DevOps, Jenkins) and data pipeline monitoring tools (e.g., Airflow, Apache NiFi, Azure Data Factory).\nStrong understanding of database security best practices, including encryption, access controls, and compliance with regulatory standards.\nAbility to manage data file transfers and processing workflows effectively.\nExperience with database monitoring and performance tuning in cloud and hybrid environments.\nPreferred experience in understanding data relationships, as well as developing and optimizing SQL queries, stored procedures, and database functions in both OLTP and OLAP systems\nStrong organizational and problem-solving skills in Agile or fast-paced environments.\nCompensation\nBase Salary Range: $115,000 - $130,000 annually. Final determination of where you are at in the salary range is based on numerous factors such as geographical location, relevant experience, skill set, education, and ability to meet qualifications within the job description. \nAdditional Compensation: This role will include a yearly annual target bonus based on individual performance.\nWorking Arrangements\nThis is a 100% remote role.\nWe are currently hiring only within our core locations which include Maryland (MD), District of Columbia (DC), Virginia (VA), Pennsylvania (PA), Delaware (DE), Indiana (IN), Illinois (IL), South Carolina (SC), North Caroline (NC), Florida (FL). \n\nWhy Join Us?\nJoin a growing company with a culture that fosters an entrepreneurial spirit\nComprehensive benefits package including Medical, Dental, Vision, Company Paid Life Insurance, Disability Insurance, and more? \nCompany Contributions to your 401k - Regardless of your contribution\nEmployee Perks: Paid Parental Leave, Employee Recognition Program, Leadership Program, Tuition Reimbursement Program, Employee Bank Checking Account, and much more!\nGenerous Paid Time Off and Paid Holidays - Including Paid Charity Hours to support volunteer opportunities \nSupporting Businesses. Helping People. Strengthening Communities. \nCapital Bank, N.A. is an E-Verify, Affirmative Action and Equal Opportunity Employer.","description_format":"text","description_chars":7364,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services"],"lifecycle":[{"event":"open","at":"2026-10-01T20:03:41Z"},{"event":"close","at":"2026-10-09T17:01:05Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":130000,"is_top_pay":false},"html_url":"https://alion.io/job/capital-bank-senior-data-engineer","json_url":"https://alion.io/job/capital-bank-senior-data-engineer.json","meta":{"generated_at":"2026-10-11T20:39:29Z","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":8899,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"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":2088108},"rest":"https://alion.io/mcp/rest/get_company?id=2088108"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcapital-bank-senior-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%2Fcapital-bank-senior-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%2Fcapital-bank-senior-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/capital-bank-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcapital-bank-senior-data-engineer"}]}