senior data warehouse developer

TruStartIT LLC

<p>Experience Level: Senior (8+ years in Data Engineering)</p><p><b>Must-Have Skills</b></p><p>⁠ ⁠Strong hands-on experience with Databricks (PySpark / Spark SQL)</p><p>⁠ ⁠Proven experience migrating legacy ETL/data warehouse workloads into Databricks</p><p>⁠ ⁠Experience implementing Change Data Capture (CDC) pipelines</p><p>⁠ ⁠Experience building data engineering pipelines using Spark</p><p>⁠ ⁠Experience creating and managing Databricks jobs, workflows, and scheduling</p><p>⁠ ⁠Experience with pipeline orchestration tools (Databricks Workflows, Airflow, Azure Data Factory, etc.)</p><p>⁠ ⁠Strong SQL and Python programming skills</p><p>⁠ ⁠Experience working with large-scale data sets and distributed data processing</p><p>Migration Experience (Very Important)</p><p>The candidate should have real project experience migrating existing data platforms or ETL pipelines into Databricks, such as migrations from:</p><p>⁠ ⁠Informatica / SSIS / Talend</p><p>⁠ ⁠Teradata / Oracle / Netezza</p><p>⁠ ⁠Hadoop or legacy data warehouse environments</p><p>They should understand how to convert legacy ETL logic into Spark-based transformations and Delta Lake pipelines.</p><p><b>Preferred Skills</b></p><p>⁠ ⁠Experience working with Delta Lake / Lakehouse architecture</p><p>⁠ ⁠Familiarity with CDC tools and streaming technologies (Kafka, Debezium, SQL CDC, etc.)</p><p>⁠ ⁠Experience with Azure Databricks ecosystem (ADLS, Azure Data Factory) or similar cloud environments</p><p>⁠ ⁠Experience implementing incremental ingestion frameworks and data validation</p><p>Candidate Profile</p><p>We are specifically looking for candidates who have hands-on experience delivering Databricks migration projects, not just maintaining existing pipelines.</p><p><b>Ideal candidates should be comfortable:</b></p><p>⁠ ⁠Designing scalable data pipelines</p><p>⁠ ⁠Migrating legacy ETL workflows to Databricks</p><p>⁠ ⁠Implementing CDC-based ingestion patterns</p><p>⁠ ⁠Building and orchestrating production-grade Databricks jobs</p><p>Please prioritize candidates who can clearly describe their role in Databricks migration projects.</p><p>Job Types: Full-time, Contract</p><p>Pay: $113,570.55 - $136,773.13 per year</p><p>Application Question(s):</p><ul><li>Do you have Databricks certification?</li></ul><p>Work Location: In person</p>

Senior Databricks Developer / Data Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
You have the opportunity to unleash your full potential at a world-renowned company and take the lead in shaping the future of technology.</p><p>
As a Senior Lead Data Engineer at JPMorgan Chase within Enterprise Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Lead data engineering within Finance Technology for the General Ledger, defining the data strategy and partnering with software engineers and central platform teams to deliver world class data capabilities.</p><p><b>
Job responsibilities</b></p><ul><li>
Partner with engineering and central platform teams to enable and scale core data lake capabilities on Databricks, covering ingestion, processing, governance, cataloging, quality, lineage, access, and consumption.</li><li>
Pilot and evaluate new tools and services; run proof-of-concepts, define selection criteria and success metrics, and integrate successful solutions into the platform.</li><li>
Operate within Agile SDLC; coordinate with stakeholders and provide clear updates on progress and priorities.</li><li>
Drive performance, scalability, and reliability through capacity planning, stress testing, and performance tuning.</li><li>
Document best practices, guardrails, patterns, and runbooks; maintain a knowledge base and onboarding materials for the broader engineering community.</li><li>
Explore and implement agentic solutions and automation tools to improve developer experience and operational efficiency.</li><li>
Provide recommendations and insight on data management and governance procedures, including acquisition, maintenance, validation, and utilization of data.</li><li>
Design and deliver secure, stable, and scalable data platform solutions, including database backup, recovery, and archiving strategies.</li><li>
Approve data analysis tools and processes, generate advanced data models, and advise junior engineers and technologists.</li><li>
Evaluate and report on access control processes to ensure effectiveness of data asset security.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification in software engineering concepts and 5+ years of applied experience.</li><li>
Hands-on experience in cloud data engineering and platform engineering, with a focus on enabling data platform capabilities.</li><li>
Strong expertise in AWS (VPC design, subnets, routing, security groups, NACLs).</li><li>
Proficiency in Kubernetes (EKS), AWS ECS, containerization, orchestration, and workload scaling.</li><li>
Advanced programming skills in Java/Python and SQL</li><li>
Hands-on experience with Databricks (Unity Catalog, Delta Lake) and familiarity with Lakehouse patterns.</li><li>
Advanced understanding of agile methodologies, CI/CD, application resiliency, and security.</li><li>
Proficiency in automation and continuous delivery methods (CI/CD, Infrastructure as Code with Terraform or CloudFormation), automated testing, and release pipelines.</li><li>
Working experience with both relational and NoSQL databases like MongoDB.</li><li>
Advanced understanding of database backup, recovery, and archiving strategy.</li><li>
Experience presenting and delivering visual data to senior stakeholders.</li></ul><div>
</div><div><b>Preferred qualifications, capabilities, and skills</b></div><ul><li>
Hands-on experience in cloud data engineering and platform engineering, with a focus on enabling data platform capabilities.</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Senior Lead Data Engineer - General Ledger

Atos

<div>
 <strong>
  About Atos
  <br/>
  <br/>
 </strong>
 Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. &euro; 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris.
 <br/>
 <br/>
 The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
 <br/>
 <br/>
 <strong>
  Senior Data Engineer
  <br/>
  <br/>
 </strong>
 We are looking for a talented Data Engineer to join our team and play a pivotal role in transforming our data ecosystem. The ideal candidate will have extensive experience in handling data from diverse business areas and managing data sources from a range of commercial and custom tools. They should be proficient in data engineering technologies, including Snowflake, Talend (or similar ETL tools), and bring expertise in Python, dbt, and Airflow. Familiarity with API integrations and experience with Tableau or other data visualization tools would be an advantage.In this role, you will also work directly with business stakeholders, running workshops to gather requirements and convert them into actionable data solutions. Experience working in an agile environment is essential.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Design, develop, and maintain ETL pipelines to extract, transform, and load data from various sources into our data warehouse.
 <br/>
 <br/>
 Collaborate with Data Analytics Product Owner and business stakeholders to understand data requirements and offer recommendations to improve data collection, processing, and analysis.
 <br/>
 <br/>
 Build and maintain data models to enable efficient SQL-based reporting and analysis.
 <br/>
 <br/>
 Implement data workflows and transformations using dbt, and orchestrate data pipelines with Airflow.
 <br/>
 <br/>
 Develop and maintain data integrations via APIs where necessary.
 <br/>
 <br/>
 Monitor, troubleshoot, and optimize data pipeline performance to ensure data accuracy, reliability, and availability.
 <br/>
 <br/>
 Collaborate with data engineers, data scientists, and analysts to develop data-driven solutions that drive business outcomes.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 <br/>
 <br/>
 5+ years of experience in data engineering.
 <br/>
 <br/>
 Proficiency with data management tools like Snowflake, Talend, or similar ETL tools.
 <br/>
 <br/>
 Strong experience with Python, dbt, and Airflow.
 <br/>
 <br/>
 Solid understanding of SQL and database design.
 <br/>
 <br/>
 Knowledge of API integrations.
 <br/>
 <br/>
 Experience with Tableau or other data visualization tools (nice to have).
 <br/>
 <br/>
 Demonstrated ability to work independently and within a collaborative team environment.
 <br/>
 <br/>
 Strong analytical and problem-solving skills.
 <br/>
 <br/>
 Excellent communication and interpersonal skills.
 <br/>
 <br/>
 English fluency is required; proficiency in French is a plus.
 <br/>
 <br/>
 Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
 <br/>
 <br/>
 Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
 <br/>
 <br/>
 <strong>
  Choose your future. Choose Atos.
 </strong>
</div>


SENIOR DATA ENGINEER

Better Debt Solutions

<div><p>Better Companies is a multi-brand financial services organization providing debt relief, tax support, and business funding solutions. We're strengthening our operations, refining our systems, and building a more cohesive, efficient experience across our brands. Our approach is grounded in transparency, strong operational foundations, and well-structured processes that support reliable execution and scalable growth.</p>
<p>
We are seeking a Data Engineer with Microsoft Fabric experience to help design and build<br>
scalable data pipelines, Lakehouse architecture, and analytics-ready datasets within our<br>
enterprise data platform.</p>
<p><b>
Responsibilities</b></p><div><br>
<ul><li>Build and optimize data pipelines and Lakehouse architecture using Microsoft Fabric and</li></ul>
Azure<br>
<ul><li>Develop Python, PySpark, and SQL transformations for large-scale data processing</li><li>Design dimensional models and analytics-ready datasets</li><li>Support AI/ML workflows using Azure OpenAI and Azure Machine Learning</li><li>Collaborate with analytics teams, business stakeholders, and vendor partners to deliver</li></ul>
reliable data solutions</div>
<p><b>
Tech Stack</b></p><p><br>
Microsoft Fabric, OneLake, Azure Data Factory, Python, PySpark, SQL, Delta Lake, Azure<br>
OpenAI, Azure Machine Learning</p><p><br>
<b>
Qualifications</b></p><div><br>
<ul><li>3&ndash;5 years of experience in data engineering or data platforms</li><li>Experience with Microsoft Fabric and Azure data services</li><li>Strong Python, PySpark, and SQL skills</li><li>Experience building ETL/ELT pipelines and enterprise data warehouse environments</li></ul></div><br>
<p></p>
<p><b>
Compensation Range:</b> $120,000- $155,000 base salary depending on experience, plus benefits.</p></div><p></p>

Data Warehouse Engineer – Microsoft Fabric / Azure

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a Senior Data Engineer with strong hands-on expertise in Databricks, PySpark, and cloud-based data platforms to support the development, migration, and optimization of our enterprise data platform within the investment domain.<br>
This role will focus on building and maintaining scalable data pipelines and lakehouse data models that support investment analytics, portfolio management, risk analysis, and trading data workflows.<br>
The successful candidate will work closely with data engineers, quantitative analysts, and investment stakeholders to deliver high-quality, reliable, and performant data solutions. Experience with financial datasets such as market data, portfolio holdings, transactions, pricing data, and risk metrics is highly valuable.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Key Responsibilities:
</p></div><div><p>Develop and maintain scalable data pipelines and transformation workflows using Databricks, PySpark, and SQL.
</p></div><div><p>Support the migration of datasets, pipelines, and transformation logic from Palantir Foundry to Databricks Delta Lake.
</p></div><div><p>Work with investment and financial datasets, including market data, portfolio positions, transactions, pricing data, and risk metrics.
</p></div><div><p>Build and maintain ETL/ELT pipelines that enable data availability for investment analytics, reporting, and portfolio management systems.
</p></div><div><p>Implement data validation, reconciliation, and quality frameworks to ensure financial data accuracy and consistency.
</p></div><div><p>Optimize Spark jobs, cluster configurations, and storage formats to improve performance and cost efficiency.
</p></div><div><p>Maintain data lineage, documentation, and governance practices to meet financial industry standards.
</p></div><div><p>Support monitoring, troubleshooting, and performance tuning of production data pipelines.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Mandatory Skills:
</p></div><div><p>Advanced Databricks Experience. Deep knowledge of Databricks architecture, Delta Lake, job orchestration, cluster management, and performance tuning.
</p></div><div><p>Experience working with investment data, such as market data, portfolio holdings, transactions, pricing data, risk metrics, and financial instruments
</p></div><div><p>Expert-Level PySpark &amp; Python Skills. Strong ability to design, optimize, and refactor distributed data processing workflows.
</p></div><div><p>Advanced SQL &amp; Data Modelling Expertise. Experience in dimensional modeling, lakehouse architecture patterns, and query optimization.
</p></div><div><p>Cloud Platform Experience (Azure preferred). Hands-on experience deploying and managing data platforms in cloud environments, including storage, security, and networking considerations.
</p></div></div><p>Nice to have
</p><div><div><p>Strong Hands-on Expertise in Palantir Foundry. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance.
</p></div><div><p>Proven Migration Experience from Palantir / to Databricks. Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover.
</p></div><div><p>Familiarity with Dynatrace or Datadog for system observability and monitoring.
</p></div><div><p>Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-121533
</p></div><div></div><div><div><p>Other Consulting
</p></div><div><p>BCM Industry</p>
</div><div><p>18/03/2026
</p></div><div><p>Req. VR-121533</p></div></div></div><p></p>

Senior Databricks Data Engineer

Callaway Golf

<div><p><b>ABOUT THE BRAND:
</b></p><p>Callaway Golf is the leading manufacturer of premium golf clubs, balls, performance gear and accessories worldwide. Through an unwavering commitment to innovation, we push the limits of performance and create demonstrably superior products designed to make every golfer a better golfer.
</p><p></p><p>Our company is a blend of experience and diverse backgrounds, and together we look to move the game forward, and we want top-notch people to join us in that mission!
</p><p></p><p>By joining Callaway Golf, you also join part of the portfolio of brands within Topgolf Callaway Brands, an unrivaled tech-enabled Modern Golf and active lifestyle company delivering leading golf equipment, apparel, and entertainment, with a portfolio of global brands including Topgolf, Callaway Golf, TravisMathew, Toptracer, Odyssey, OGIO, and World Golf Tour (&ldquo;WGT&rdquo;). &ldquo;Modern Golf&rdquo; is the dynamic and inclusive ecosystem that includes both on-course and off-course golf. For more information, please visit https://www.topgolfcallawaybrands.com
</p><p><b>JOB OVERVIEW
</b></p><p>As a Senior Data Engineer, you will play a critical role in helping the organization leverage data and technology to drive business growth, customer engagement, and data-driven decision-making. The primary responsibilities will be building, managing, and optimizing data pipelines as well as AI tools effectively into production for critical data and analytics consumers like business/data analysts, data scientists, or any persona needing curated data for data and analytics use cases across the enterprise.
</p><p></p><p><b>ROLES AND RESPONSIBILITIES
</b></p><ul><li>Design and maintain data architecture using Snowflake, Azure, and Python for robust data solutions.
</li><li>Develop and optimize ELT/ETL workflows with Python, SQL, and Spark for data accuracy and scalability.
</li><li>Development and deployment of data-driven solutions, supporting Gen AI and AI applications.
</li><li>Apply software engineering principles to build scalable, maintainable data and application solutions.
</li><li>Collaborate with cross-functional teams to define business requirements and architect data solutions.
</li><li>Ensure compliance with data privacy regulations and best practices.
</li><li>Implement DevOps processes to automate deployment and testing of data pipelines and software.
</li><li>Stay current on data engineering, Gen AI, and marketing technology trends, recommending adoption.
</li><li>Deliver high-quality, scalable solutions in an Agile environment, meeting deadlines and budgets.
</li></ul><p></p><p><b>TECHNICAL COMPETENCIES (Knowledge, Skills &amp; Abilities)
</b></p><ul><li>Expert in Snowflake pipelines for data workloads in Azure or AWS.
</li><li>Deep knowledge of marketing tech stack: marketing tools (Email, SMS, Paid channels like Google Ads, Meta Ads) and CDPs.
</li><li>Strong data modeling skills for designing efficient, scalable database structures.
</li><li>Knowledge of AI platforms.
</li><li>Strong software engineering skills, including React, JavaScript, tools (Node.js, Git, Webpack).
</li><li>Advanced Python fluency for data engineering and SQL expertise for data optimization.
</li><li>Excellent communication skills.
</li><li>Self-motivated, results-oriented, data excellence-focused.
</li></ul><p></p><p><b>EDUCATION AND EXPERIENCE
</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Software Engineering, or related field; Master&rsquo;s degree preferred.
</li><li>5+ years of experience in data engineering, with a focus on designing and building data pipelines and architecture.
</li><li>5+ years of hands-on experience with Snowflake, Azure, and Python in data solutions.
</li><li>Proven track record in software engineering, with experience in React and modern development tools.
</li><li>Demonstrated leadership in delivering scalable, data-driven solutions in an Agile environment.
</li></ul><p></p><p><b>PHYSICAL REQUIREMENTS / WORK ENVIRONMENT (if applicable)
</b></p><ul><li>Work is performed in a designated professional office workstation and environment.
</li><li>Extensive use of office equipment, including computer, calculator, copier, fax, and other business-related machines and software.
</li></ul><p></p><p><b>DISCLAIMER
</b></p><p>This job description indicates, in general terms, the type and level of work performed, as well as the typical responsibilities of employees in this classification, and it may be changed by management at any time. Other duties may also apply. Nothing in this position description changes the at-will employment relationship between the Company and its employees. Distribution of this item outside the Company without an authorized release violates Company policy.
</p><p><b>DE&amp;I and EEOC:
</b></p><p><b><i>Inclusion &amp; Diversity: </i></b>As a purpose-led, performance driven company, we strive to foster a culture of belonging based on respect, connection, openness and authenticity. We are committed to building and maintaining a workplace that celebrates the diversity of our associates, supporting them to bring their authentic selves to work every day.
</p><p></p><p><i>If your experience is close to what we&rsquo;re looking for, please consider applying. Experience comes in many forms, skills are transferable, and passion goes a long way. We know that diverse backgrounds and experiences make for the best problem-solving and creative thinking, which is why we&rsquo;re dedicated to adding new perspectives to the team and encourage everyone to apply. We look forward to learning more about you.
</i></p><p></p><p><b>ARE YOU READY TO MAKE THE TURN? APPLY TODAY!
</b></p>104,700.00 - 130,900.00 - 157,100.00 USD Annual</div>

Sr. Data Engineer

Blue Sky Technology Solutions LLC

<p>We are seeking a <b>Senior Data Engineer</b> to support the design and delivery of modern data platforms in a healthcare environment. This role is focused on building scalable, cloud-native data pipelines using <b>Snowflake and dbt</b>, supporting enterprise analytics and data-driven decision making.</p><p>This is an ideal opportunity for someone who thrives in modern ELT environments and has experience working with healthcare data.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and maintain scalable data pipelines using <b>Snowflake and dbt</b></li><li>Build and optimize ELT workflows for large-scale data ingestion and transformation</li><li>Develop robust data models (dimensional, incremental, SCD patterns) to support analytics and reporting</li><li>Collaborate with cross-functional teams to define data requirements and deliver high-quality data solutions</li><li>Ensure data quality, performance optimization, and governance across the data platform</li><li>Support CI/CD processes and automated testing within dbt and cloud environments</li></ul><p><b>Required Qualifications</b></p><ul><li>5+ years of experience in data engineering or ETL/ELT development</li><li>Strong hands-on experience with <b>Snowflake</b> (data modeling, performance tuning, pipelines)</li><li>Proven experience building <b>dbt-based ELT frameworks</b> (dbt Core or dbt Cloud)</li><li>Strong SQL skills and experience with Python for data processing</li><li>Experience working in cloud environments (AWS, Azure, or GCP)</li><li>Experience building scalable data pipelines and supporting analytics platforms</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience working with <b>healthcare data</b> (claims, EHR, interoperability, etc.)</li><li>Exposure to <b>Epic data (Clarity, Caboodle)</b> or healthcare interoperability standards (HL7, FHIR)</li><li>Experience with modern data tools such as Airflow, Fivetran, or similar orchestration/ingestion frameworks</li><li>Familiarity with data governance, security, and compliance (HIPAA)</li></ul><p><b>What We&rsquo;re Looking For</b></p><ul><li>Strong hands-on engineer with a modern data stack mindset</li><li>Experience working in <b>Snowflake-first, dbt-driven environments</b></li><li>Ability to operate in both development and solution design capacities</li><li>Strong communication skills and ability to work with technical and business stakeholders</li></ul><p><b>Why Join</b></p><ul><li>Opportunity to work on modern, cloud-based data platforms</li><li>High-impact role supporting critical healthcare data initiatives</li><li>Collaborative, forward-thinking data engineering environment</li></ul><p>Apply today to be part of a team building next-generation data platforms in healthcare.</p><p>Job Type: Full-time</p><p>Pay: $120,000.00 - $150,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Vision insurance</li></ul><p>Work Location: Remote</p>

Senior Data Engineer (Snowflake/dbt/Healthcare) - 100% Remote

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