This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description LRS Consulting Services is seeking a Data Engineer for a Contract-to-Hire/Direct Hire opportunity. This role offers the chance to apply your skills in support of meaningful work for one of our client partners. The successful candidate will contribute to: - Data analysis - Data cleaning - Analytical code They will work as part of multiple small teams on projects that include: - Data-intensive federal government projects focused on public behavioral health - Healthcare research The selected candidate will: - Lead production of high-quality and complex data products - Participate in cross-functional teams in managing data - Produce analytical files - Perform visualization and statistical analysis - Communicate insights Qualifications - Experience with Python - Experience working with Medicare datasets - Experience with Databricks is a plus - Candidate must be able to effectively communicate in English (written & verbal) Requirements - The base range for this contract position is $50.00 - $60.00 per hour, depending on experience. - Our pay ranges are determined by role, level, and location. - The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. - Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Company Description LRS Consulting Services has been delivering the highest quality consultants to our clients since 1979. We've built a solid reputation for dealing with our clients and our consultants with honesty, integrity, and respect. We work hard every day to maintain that reputation. LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on: - Race - Color - Religion - Creed - National origin - Sex - Age - Disability - Marital status - Gender identity - Domestic partner status - Sexual orientation - Genetic information - Citizenship - Status or protected veteran status In some cases, LRS Consulting uses generative artificial intelligence (“AI”) in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. If you have any questions, please contact us by clicking here.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Principal Data Engineer and Data Governance Lead with deep Snowflake expertise, strong Master Data Management (MDM) skills, and proven experience leading data governance and managing data and reporting teams. This role is central to unifying data across Salesforce, HubSpot, Gong, BigCommerce, LMS systems, and internal delivery platforms, enabling accurate segmentation, forecasting, GTM insights, operational efficiencies, and AI-driven automation. This role owns both the technical data foundation and the governance and people leadership required to make data trustworthy and usable at scale. You will: - Architect robust data pipelines - Establish the enterprise data model - Design AI-ready semantic layers - Lead the data and reporting function - Coach cross-functional teams on data stewardship Teachstone is entering a phase where reliable, unified, and well-governed data is essential to achieving our 2026 goals: - Strengthening profitability - Improving predictability - Expanding digital delivery - Diversifying markets - Deepening customer engagement This role provides the technical, governance, and leadership backbone needed to: - Create and enforce a single source of truth across Growth, Delivery, CS, Finance, and Product - Lead and mature the data and reporting team to deliver consistent, high-impact insights - Establish sustainable data governance practices that scale beyond individuals - Enable advanced reporting, forecasting, and AI-driven decision support - Reduce manual reporting, rework, and operational friction across the organization Qualifications - 10+ years of experience in data engineering, including people leadership or functional leadership of data/reporting teams - 4+ years of hands-on Snowflake experience (RBAC, warehouse design, performance tuning, cost management) - Snowflake certification required - Advanced SQL and proficiency in Python or another data-oriented language - Experience with dbt, Matillion, Fivetran, Airflow, Prefect, or similar tools - Experience leading analytics engineering or enterprise reporting functions - Demonstrated familiarity with semantic layers and AI/ML-enabled analytics - Demonstrated experience designing and leading data governance and MDM initiatives - Strong communication skills with the ability to influence technical and non-technical stakeholders - Comfort operating in a matrixed organization Requirements - Experience in SaaS, education, or services-based delivery environments - Prior participation in enterprise data strategy or governance council Benefits - Fair, Competitive Pay: Equal pay for equal work, using consistent salary bands based on market benchmarks, reviewed annually. - Salary Range: $135,000 - $175,000, determined by your experience, skills and internal equity. - Comprehensive Benefits: Medical/dental, 401(k), PTO, insurance, development opportunities. Details provided at offer. - Eligibility depends on your role and employment status. Company Description At Teachstone, we believe that every interaction shapes a brighter future. If you're passionate about transforming education and want to be part of a team that's committed to meaningful impact, we want to hear from you. Apply today and help us create classrooms where every child thrives! At Teachstone, we encourage all individuals to apply and bring their unique perspectives to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other characteristic protected by law. We value the different experiences and ideas our team members bring and believe they are essential to solving complex challenges and driving our mission forward.

• Evaluate, recommend, and implement test data strategies • Understanding project architecture, test environment, test data needs • Support various applications such as, but not limited to, re-hosted VistA legacy, Cerner Millennium, and COTS/GOTS integration with VistA legacy • Contribute to the overall performance and success of the project and will be primarily responsible for preparing test data for EHRM interface testing activities • Demonstrate hands-on software, system architecture, interface testing, and database development and/or enhancement experience • Collaborate and actively participate in meetings with stakeholders, other Engineers and Subject Matter Experts • Work both independently and in a team setting promoting a collaborative work environment with team members and customers, defining, organizing, and/or presenting detailed information and data needed to accomplish organization and engineering goals

• Build infrastructure: Design pipelines (SQL, dbt, BigQuery) that unify marketing, product, and operational data. Own data quality and event tracking validation. • Power experimentation: Partner with Product to design and analyze A/B tests across acquisition and activation funnels. Implement Mixpanel instrumentation for new experiments. • Drive insights: Own funnel reporting, attribution models, and campaign analysis. Build Looker dashboards that surface where the team should focus next. • Enable AI-driven growth: Support integration of LLM-enriched data models, embeddings, and similarity signals for smarter targeting and segmentation.