• Design, build, and maintain data pipelines for batch and streaming data processing. • Develop and optimize ETL workflows using Python and SQL. • Build and maintain Airflow DAGs for orchestration of data workflows. • Implement data transformations and data quality checks. • Optimize BigQuery queries and data models for performance and cost efficiency. • Troubleshoot and improve reliability of existing pipelines. • Collaborate with analysts and engineering teams to support data needs.

Description Hart is a healthcare technology company focused on clinical data integration and archiving. We build the infrastructure that connects disparate health systems, providing a unified source of information for providers and patients. Job Summary We are looking for a Data Engineer to build and maintain our data infrastructure. You will be responsible for developing robust ETL/ELT pipelines and managing data workflows within the Databricks ecosystem. We need a builder who values simplicity and pragmatism—someone who can navigate the necessary rigor of a regulated industry without over-engineering technical solutions. While we are open to exceptional remote talent, we have a strong preference for candidates who can work on-site with us in Bozeman, MT. Key Responsibilities - Data Pipeline Development: Design and implement scalable ETL/ELT pipelines to ingest and transform complex healthcare data. - Databricks Development: Build and optimize data models and processing workflows within the Databricks ecosystem. - Pragmatic Engineering: Focus on clean, maintainable code and simple solutions that solve the problem effectively without unnecessary complexity. - Performance Optimization: Write and refine high-signal Python and SQL code to improve system reliability and efficiency. - AI/ML Support: Develop the data foundation for machine learning workflows and assist in moving models into production. - Security & Compliance: Ensure all data flows meet HIPAA and security standards through intentional documentation and validation. Culture We handle high-stakes data where precision is mandatory, but we solve those problems with an engineering-first mindset. This isn’t a "corporate suit" environment—we are a meritocracy where the best idea wins, regardless of title. We value high-signal, direct communication and prioritize technical execution over unnecessary fluff. Our goal is to maintain a disciplined, professional standard for our systems while keeping our team structure lean and focused. If you prefer building foundational technology in a simple, pragmatic, and fluff-free environment, you will fit in here. Requirements - Professional Experience: Proven track record in data engineering or a software engineering role with a heavy focus on data. - Databricks: Hands-on experience with the Databricks platform. - Languages: High proficiency in Python and SQL. - ETL/ELT: Experience building and maintaining production-grade data pipelines. - Cloud Infrastructure: Experience working within AWS environments. Preferred Qualifications - AI/ML: Experience with MLflow, model training, or integrating AI into data pipelines. - Healthcare Data: Familiarity with healthcare standards like HL7 and FHIR. - Software Fundamentals: Strong understanding of version control (Git) and CI/CD practices.

Benefits: - 401(k) - 401(k) matching - Bonus based on performance - Competitive salary - Dental insurance - Donation matching - Health insurance - Opportunity for advancement - Paid time off - Profit sharing - Training & development - Tuition assistance - Vision insurance - Wellness resources Location: Fully Remote (United States) — no onsite work required Employment Type: Contract (Full-Time), multi-year engagement with potential for extension About AKIVA AKIVA is an AI-native engineering firm specializing in enterprise services, domain-specific solutions, and high-performance infrastructure from strategy through deployment. We build innovative systems that drive measurable results for commercial enterprises and government agencies. AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB). Position Overview AKIVA is seeking ETL Developers to design, develop, and maintain extract-transform-load (ETL) processes in support of a multi-year public-sector application modernization program. In this role you will build ETL strategies that move structured and unstructured data from legacy source systems into modern target platforms — developing robust data mappings, automated workflows, validation routines, and audit logging. You will collaborate closely with client stakeholders, data architects, and application development teams in a Scrum-based delivery environment. AKIVA-provided AI-assisted pipeline generation, data-profiling, and anomaly-detection tools may be used to accelerate development and improve data quality. Key Responsibilities • Design, develop, test, and maintain ETL processes that move data from source systems to target data stores, data warehouses, and modern applications • Develop and evolve ETL strategies that support the full data lifecycle — ingestion, transformation, validation, loading, and audit • Collect, clean, and integrate structured and unstructured data from diverse source systems, including legacy relational databases, flat files, APIs, and third-party feeds • Build and maintain data models, data mappings, and transformation rules in coordination with data architects and business analysts • Implement automated workflows with performance tuning, error handling, and audit logging • Implement and monitor data-quality controls — profiling, deduplication, standardization, and reconciliation • Develop and maintain API-based integrations between source and target systems • Troubleshoot production ETL jobs, diagnose failures, and implement remediation • Collaborate with client stakeholders to understand source-system semantics, data ownership, and business rules • Support knowledge transfer to client technical staff through documentation, walkthroughs, and pair-work • Participate in Scrum ceremonies (sprint planning, daily stand-ups, reviews, and retrospectives) Required Qualifications • Bachelor's degree in Computer Science, Information Systems, or related field — or equivalent experience • 2+ years of hands-on experience with advanced SQL, including complex joins, window functions, CTEs, stored procedures, and performance tuning • 4+ years of experience in data migration and integration with automated workflows, performance tuning, data cleansing, API integration, and audit logging • Demonstrated experience designing end-to-end ETL pipelines across heterogeneous source and target systems • Strong problem-solving, troubleshooting, and documentation skills • Excellent written and verbal communication skills and ability to work directly with non-technical stakeholders • Ability to work effectively in a fully remote environment • Must be authorized to work in the United States Preferred Qualifications • Experience leading or contributing to full-scale data migrations from legacy systems to cloud, ERP, or CRM platforms • Hands-on experience with one or more ETL/data-integration platforms — Informatica PowerCenter or IICS, Talend, AWS Glue, Azure Data Factory, or SQL Server Integration Services (SSIS) • Proficiency in at least one scripting or programming language — Python, PowerShell, or Java • Experience working on Agile / Scrum delivery teams • Experience supporting public-sector data modernization initiatives • Familiarity with AI-assisted pipeline generation, schema-mapping, and anomaly-detection tools Tools, Technologies & Frameworks ETL / Integration: Informatica PowerCenter, Informatica IICS, Talend, AWS Glue, Azure Data Factory, SSIS | Databases: SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, Redshift | Scripting: Python, PowerShell, Java | APIs: REST, SOAP, JSON, XML | DevOps: Git, CI/CD pipelines, Jira, Confluence | Delivery: Agile / Scrum | AI Assist: pipeline generation, schema mapping, anomaly detection What AKIVA Offers • Professional development and skill-building opportunities • Supportive management team with veteran-owned company values • Opportunity to contribute to impactful public-sector data modernization initiatives • Fully remote engagement with no required onsite travel • AI productivity tools and training provided at no cost to employees Comprehensive Benefits Package • 401(k) with generous company match • Medical Insurance • Dental Insurance • Vision Insurance • Short-Term & Long-Term Disability Insurance • Paid Time Off (PTO) • Profit Sharing Join Our AI Innovation Network Interested in staying connected with AKIVA's AI initiatives, research, and opportunities? Join our AI Innovation Network here: https://www.akiva.com/ai-network Equal Employment Opportunity Statement AKIVA is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, national origin, age, physical disability, marital status, military and veteran status, or any other characteristic protected by applicable law. We believe that diversity among our teammates is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people within a qualified candidate pool. AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB). This is a remote position.

Alkami is the digital sales and service platform provider for U.S. banks and credit unions. Our unified Platform integrates onboarding, digital banking, and data and marketing—each solution can stand alone, but together they deliver more—to help institutions onboard, engage, and grow relationships. As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment with technology that drives action. Founded in 2009, we continue to be recognized for our intentional culture and tremendous growth (Best Place to Work in Fintech; Best & Brightest to Work For Nationally; and Comparably’s Best Company Culture, Best Career Growth, Best Engineering Team, and Best Places to Work in Dallas, among others). We’re building a culture where each Alkamist can perform to their highest potential, and we’re always on the lookout for the best and brightest minds. If you’re ready to experience the power of alchemy - transforming the ordinary into the extraordinary - come join one of the fastest growing SaaS companies in the U.S. As a remote-first company, most of our positions can be remote in the US, except for key roles, which will be indicated in the Job Title. Follow us on Glassdoor and LinkedIn! The Staff Data Engineer will architect, build, and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS solution. Position requires a demonstrated ability to design processes from end to end and a strong technical understanding of modern data pipelines and strategies. In depth knowledge of multiple data sources, data design patterns, ETL transformation, SQL and performance tuning are required. Ability to train and mentor team members and collaborate with cross functional team members. Essential Duties & Responsibilities: ● Participate in the entire data pipeline lifecycle, focusing on building data lakes, data warehouses and related processes ● Contribute to the design and documentation of our data lake platform ● Partner with Sr staff on the development and maintenance of data governance policies and procedures that ensure data quality, accuracy, consistency, and privacy. ● Mentor other data engineers, providing technical guidance, and ensuring that team members have the necessary skills and resources to perform their duties. ● Conduct code and design reviews with junior and peer developers ● Write clean code to develop data pipelines and necessary infrastructure as code ● Aid in setting coding standards for team members to follow ● Partner with cross functional teams to understand requirements and effectively design appropriate solutions. ● Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed ● Aid in determining and implementing KPI’s for performance and stability of platform ● Participate in the review of new technologies and tools for our data teams ● Partner with engineering and other cross functional teams to collect and implement technical and design requirements ● Communicate effectively with technical and non-technical team members to ensure alignment and successful execution of projects. ● Participate in cross-functional initiatives, promoting a culture of data-driven decision-making and continuous improvement. ● Participate in an on call rotation Required Skills: ● Experience in the development of modern data architecture, analytics, data governance, AI/ML, or related areas. ● Strong Experience with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS, MKS/Kafka/Kinesis ● Expertise with relational and NoSQL databases such as PostgresQL, Cassandra, DynamoDB, MongoDb etc and data modeling principles ● Knowledge of data pipeline tools and workflow engines, e.g. Apache Airflow and Spark. ● Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure-as-code/AWS Cloud Formation/Terraform. ● Successfully contributes to the entire development lifecycle of teams products ● Exposure to secure coding practices, access controls, authentication, and audit. AWS Lake formation preferred. ● Strong experience with SQL (SQL Server, Postgres) and Python, Scala ● Identify opportunities for process improvement as well as efficiency in solutions ● Demonstrated ability to mentor junior team members ● Excellent analytical and time management skills, with a proven ability to deliver value independently ● Strong written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders The salary range for this position is: TBD Cool Things to Know Not Just Any Company: Alkami has an awesome diverse and inclusive environment. We have a FUN culture and offer great benefits, including remote-first environment, unlimited paid time off, 401(k) with employer match, and more. Work Authorization: We cannot offer employment sponsorship at this time. Candidates must be eligible to work in the US for full-time employment. Recruiters: We are not looking for outside recruiting firms to help us in this search. Thank you for understanding. Pay Transparency: As of January 1, 2023, new states and locales have enacted pay equity laws that require more pay transparency by employers in the following states: California, Colorado (effective January 1, 2021), Connecticut, Maryland, Nevada, New Jersey, New York, Ohio, Rhode Island and Washington. The Important Stuff Alkami Technology is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Alkami is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Alkami are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Alkami will not tolerate discrimination or harassment based on any of these characteristics. Alkami encourages applicants of all ages. #LI-REMOTE