About Helm Health Helm is a Series A start-up transforming health insurance with "Dynamic Copay" – a new insurance plan that lets members see simple, upfront prices for all medical care before making decisions. Our team is building the infrastructure to power these plans for health insurance payors. With Helm, our clients offer simpler health plans to their members, helping them navigate to higher-value care. Our team has specialized in Dynamic Copay solutions since 2020, and Helm is the only independent platform in the market. We have grown rapidly since our launch, working with clients from local health plans to the nation's largest health insurers. The market is forming around us, making it an exciting time to join! Role Overview We're seeking a Senior Backend Engineer to join our Data team. You'll work alongside our Principal Data Engineer to build and improve the automated systems that power our data infrastructure — pipelines, data quality, integrations, and internal tooling that make the rest of the engineering org more effective. Responsibilies - Design and build automated data pipelines and ETL/ELT processes - Improve data quality, validation, and monitoring across production systems - Build internal tooling that accelerates engineering workflows and reduces manual data operations - Work across PostgreSQL and BigQuery to optimize storage, query performance, and data modeling - Collaborate with engineering teams across the org to understand data needs and build scalable solutions - Participate in code reviews and architecture discussions - Contribute to the on-call rotation for data systems - Support data governance and access control practices to ensure compliance with HIPAA and other regulatory requirements across data systems - Maintain clear documentation for data pipelines, schemas, and system dependencies to support team knowledge sharing and operational continuity - Experience with dbt (data build tool) or similar SQL-based transformation frameworks Requirements - 5+ years in backend or data engineering - Strong Python proficiency - Strong SQL skills, particularly in PostgreSQL and BigQuery - Experience designing and maintaining automated data pipelines - Experience with data quality frameworks, validation, and monitoring - Docker/Kubernetes - Google Cloud Platform Preferred Qualifications - Go proficiency - Experience with additional data stores at scale (CouchDB, CockroachDB, or similar) - Health insurance or claims processing experience - Terraform/Terraform Cloud - Incident management and response experience - Start-up experience Characteristics - Self-directed and comfortable working across systems to find and fix data problems - Mission-driven — motivated by making healthcare simpler and more transparent - Willing to ask questions and admit what you don't know - Systems thinker — you see how data flows through an organization and instinctively look for ways to make it better Internal Tools/Technology - Cursor / Linear / GitHub / Notion / Whimsical - Slack / Google Workspace / Zoom - incident.io / Sentry - Claude, ChatGPT, Gemini — we are an AI-forward engineering team - macOS / Linux Compensation The target base salary range for this position is $150,000 - $225,000 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by several factors, including experience, skills, location, internal pay equity, and other relevant business considerations. Benefits/Offerings - Unlimited PTO (mandatory 12 days) - Computer + home office stipend - 401(k) + matching - Medical, dental, and vision insurance - Autonomy and tons of room for career growth Occasional Travel We meet quarterly as a company. Please note that this is a fully remote opportunity.

Role Description This position is term limited with an anticipated end date of approximately 12 months from the date of hire. This position is eligible for State employee benefits and may be extended as the situation warrants. We’re looking for a strategic and collaborative Data Architect to advise, develop and facilitate data architecture strategy including cloud, advanced technologies & platforms for OIT and partner agencies. In this role you will support efforts as an expert and leverage technology and innovation to provide scalable solutions to complex and diverse business problems. You will approve all relevant data architecture decisions and ensure alignment with agency needs, considering both the current and future needs of the agency. - Consulting as a resource on data strategy and architecture to OIT and agency partners. - Driving innovations, collaborations, and insights establishing a strong data-driven approach to decision-making across the organization. - Bringing best in class technologies, innovation, and creativity to the table in developing technical solutions to solve complex multi-dimensional problems. - Providing technology expertise by architecting, prototyping, researching, recommending, documenting, and assisting in implementing and evaluating technical solutions for business issues whether purchased or developed. - Assessing new data initiatives to determine compliance with the architecture, information security and data standards. - Interfacing with vendor technology/solutions, as well as appropriate involvement of OIT architecture, throughout the entire project lifecycle. Qualifications - A minimum of five (5) years of experience in data architecture (solution architecture), data management and information classification at the enterprise level, including an understanding of common information architecture frameworks and information models. - Demonstrated experience designing solutions in modern data technology platforms including Cloud (Snowflake, AWS, Azure, GCP, Spark) based solutions. - Experience in developing and operationalizing architectural and data designs, including data, technology and infrastructure. - Experience with identifying, monitoring, and rectifying data quality concerns using data governance tools. Requirements - Additional appropriate education will substitute for the required experience on a year-for-year basis, but cannot completely substitute for these qualifications. - Training or Certification related to the work assigned to the position will be assigned credit towards substitution for experience and/or education, but cannot completely substitute for these qualifications. - If the minimum qualifications include a degree requirement, additional appropriate paid or unpaid experience will substitute for the required education on a year-for-year basis. Benefits - This position may require travel within the specified geographic area, and to locations across the state as needed. - This position may require on-call duties as needed by the position.

About Us dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases. As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZenica, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners: - Reliable, high-quality data is the fuel that propels AI-powered data engineering.
 - AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve. - We empower engineers to deliver reliable, governed data faster, cheaper, and at scale. dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started.. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values. As a Senior Data Engineer at dbt Labs, you'll build and maintain the core data platform infrastructure that powers our internal analytics and data products. You'll own the platform that makes data trustworthy at every layer — from the contracts that govern how it lands, to the infrastructure that stores, transforms, and delivers it across the business. This role is a part of a tight-knit, strategic team that combines strong technical execution with a bias for impact and cross-functional influence. This is a unique opportunity to work on infrastructure that sits at the center of how dbt Labs runs as a business — with executive visibility, deep cross-functional reach, and the added dimension of dogfooding the very products we build. If you're excited by the challenge of solving hard platform problems with cutting-edge tooling and making a direct, lasting impact on company growth, this role is for you. In this role, you can expect to: - Own the architecture and operations of our data lakehouse, including object storage, table formats, maintenance, and query engine integrations - Build and maintain the infrastructure layer that transforms and serves data reliably at scale—from raw landing zones through to curated, queryable datasets - Partner with product engineering to establish data contracts and schema standards around event telemetry, ensuring data arrives in the lakehouse in a form that's reliable and ready for downstream use - Drive decisions on data platform architecture, tooling, and engineering best practices across storage, compute, and access layers - Enhance observability and monitoring of data infrastructure, including pipeline reliability, data freshness, and system performance - Partner cross-functionally with teams across Analytics, Infrastructure, and Product to understand data needs and deliver impactful platform solutions - Provide product feedback by dogfooding new data infrastructure and AI technology You're a great fit if you have: - Expert-level SQL and Python skills - 5+ years of experience as a data engineer, and 8+ years of total experience in software engineering (including data engineering roles) - Strong knowledge of data lakehouse architecture, including storage layer design, table formats, and compute/query engine integration - Experience defining and enforcing data contracts or schema standards in collaboration with upstream engineering teams - Hands-on experience with modern orchestration tools like Airflow, Dagster, or Prefect - Working knowledge of cloud infrastructure tooling, including Terraform, Helm, and Kubernetes - A bias for action—able to stay focused and prioritize effectively in an ambiguous environment You'll stand out if you have: - Experience developing and scaling dbt projects - Hands-on experience with Apache Iceberg or other open table formats in production, including multi-region or multi-cloud deployments - Experience designing platform infrastructure that serves multiple downstream teams and use cases - Experience working in a SaaS or high-growth tech environment Remote Hiring Process: - Interview with a Talent Acquisition Partner - Interview with Hiring Manager - White boarding session with a member of the data team - White boarding session with a member of the software engineer team - White boarding session with a cross functional stakeholder - Final wrap up/ values discussion with Data Leader Compensation: We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below. - The typical starting salary range for this role is: - $147,000 - $178,000 - The typical starting salary range for this role in the select locations listed is: - $163,000 - $198,000 Benefits: - Unlimited vacation time with a culture that actively encourages time off - 401k plan with 3% guaranteed company contribution - Comprehensive healthcare coverage - Generous paid parental leave - Flexible stipends for: - Health & Wellness - Home Office Setup - Cell Phone & Internet - Learning & Development - Office Space dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume. Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page. dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. RSUs or comparable benefits may be offered depending on the legal or country limitations. Privacy Notice Supplement to Privacy Notice - Californians Supplement to Privacy Notice - EEA/UK

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work: Key Responsibilities: - Collaborate with the Data Migration Team to deliver data integration solutions for a Case Management System Modernization Program on Azure using MS Dynamics CRM (PowerApps). - Analyze and interpret data migration requirements to design effective ETL solutions. - Design, develop, and optimize cloud-based ETL processes and workflows for migrating data from multiple legacy systems to modern Azure-based targets. - Create and maintain data structures or models needed throughout all stages of the data migration. - Perform detailed source‑to‑target mapping, data validation, cleansing, and quality assurance. - Conduct unit testing and ensure data quality and integrity during migration. - Apply performance engineering techniques to optimize pipelines, especially for scaling future migration waves. - Use Azure Data Factory and SSIS to orchestrate complex data flows from on‑prem to cloud. - Participate in Agile development cycles and collaborate with cross‑functional teams. - Communicate technical progress, issues, and solutions clearly to stakeholders. - Use critical thinking and problem‑solving skills to resolve data migration challenges. Here is what you need: - US Citizen (Public Trust Eligible) - BS degree and 5+ years relevant experience - Advanced proficiency in T‑SQL and SQL using Microsoft SQL Server - Intermediate experience with performance engineering - Intermediate experience with data pipeline solutioning and development - Hands‑on experience designing and implementing ETL processes in cloud environments such as Azure. - Experience with data migration activities: extraction, transformation, loading, mapping, validation, and cleansing. - Familiarity with Azure Data Factory or similar cloud‑based ETL orchestration tools. - Strong problem‑solving skills, attention to detail, and quality assurance mindset. - Ability to work within Agile development methodologies. Preferred experience: - T4 Public trust (Dept of Justice) highly desired - Intermediate proficiency with SQL Server Integration Services (SSIS). - Intermediate skill in requirement analysis and interpretation. - Familiarity with Agile delivery practices - Experience working with MS Dynamics CRM / PowerApps and Dataverse. - Experience supporting large‑scale or multi‑wave data migration programs. ***This role is fully remote within Contiguous US*** As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $86,400—$176,200 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.