senior data engineer

giftHEALTH

<div><h2 class="jobSectionHeader">About Us</h2>
At Gifthealth, we're revolutionizing the way people experience healthcare by simplifying the process of managing prescriptions and health services. Our mission is to provide a seamless, personalized, and efficient healthcare experience for all our customers. We're a dynamic, innovative, and customer-centric company dedicated to making a positive impact on people's lives.<h3 class="jobSectionHeader"> 
Position Summary</h3>
The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth's most critical data pipelines and platform components, establishing technical standards, and mentoring the broader engineering team. The ideal candidate has 6+ years of data engineering experience with demonstrated senior-level ownership, expert command of SQL, Python, and dbt, and the communication skills to align both technical and non-technical stakeholders on complex problems.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Lead the design and architecture of our most critical data pipelines and data platform components</li><li>
Set technical standards and best practices that elevate the entire data team</li><li>
Mentor and support junior and mid-level engineers through code reviews, pair programming, and knowledge sharing</li><li>
Own the health, scalability, and reliability of our orchestration infrastructure</li><li>
Partner with engineering, analytics, and leadership to shape the roadmap for our data platform</li><li>
Evaluate and introduce new tools and technologies to keep our stack modern and effective</li><li>
Ensure compliance and confidentiality of Personal Health Information across all data</li></ul><h3 class="jobSectionHeader">
Qualifications</h3><ul><li>
Education: Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer</li><li>
Experience: 6+ years of experience as a Data Engineer, with demonstrated senior-level ownership</li><li>
Skills:
<ul><li>6+ years of experience as a Data Engineer, with demonstrated senior-level ownership</li>
<li>Expert proficiency in SQL and Python, with deep experience in Airflow or a comparable orchestrator</li>
<li>Strong track record with dbt, modern data warehouse platforms, and CI/CD pipelines</li>
<li>Experience mentoring engineers and contributing to team standards and culture</li>
<li>Ability to navigate ambiguity, make sound technical decisions, and drive projects to completion</li>
<li>Experience with AWS, Fivetran, and automated testing; Ruby experience is a plus</li>
<li>Excellent communication skills &mdash; you can align technical and non-technical stakeholders on complex problems</li>
<li>An excitement about what data can do for healthcare and patients</li>
</ul></li></ul><h3 class="jobSectionHeader">Work Environment</h3><ul><li>
Location: Remote</li></ul><h3 class="jobSectionHeader">
Employment Classification</h3>
Status: Full-time 
FLSA: Exempt<h3 class="jobSectionHeader">
Equal Employment Opportunity (EEO) Statement</h3>
Gifthealth is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, age, disability, veteran status, or any other legally protected status.<h2 class="jobSectionHeader"> 
Disclaimer</h2>
This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, or skills required of personnel.Gifthealth reserves the right to modify job duties or descriptions at any time.</div>

Senior Data Engineer

Trickle Up

<div>We are looking for a Senior Data Engineer to design, build, and maintain enterprise-scale data platforms on Azure. You will own end-to-end data pipelines from raw ingestion to curated, analytics-ready gold layers while driving data quality standards, mentoring junior engineers, and collaborating directly with product and AI teams. 
Requirements 
Pipeline Design &amp; Architecture<ul><li>Architect and manage scalable ETL/ELT pipelines using Medallion Architecture (Bronze Silver Gold)</li><li>Design ADF pipelines, data models, and schemas optimised for performance and maintainability</li><li>Build near real-time and batch ingestion solutions across structured and semi-structured sources</li></ul>
Data Governance &amp; Quality<ul><li>Implement data quality checks, validation frameworks, and lineage tracking across pipeline layers</li><li>Enforce security controls, access policies, and compliance requirements on ADLS Gen 2 and Azure SQL</li><li>Monitor pipeline SLAs, diagnose performance bottlenecks, and own incident resolution</li></ul>
Engineering Excellence<ul><li>Drive CI/CD adoption for data pipelines using Azure DevOps or equivalent tooling</li><li>Define and enforce coding standards, peer-review practices, and documentation norms</li><li>Contribute to Al agent development initiatives as a data platform subject-matter expert</li></ul>
Collaboration &amp; Mentorship<ul><li>Partner with data scientists, analysts, and product managers to translate requirements into reliable data products</li><li>Mentor junior engineers through code reviews, design discussions, and structured knowledge sharing</li><li>Participate in Agile ceremonies and contribute to sprint planning, backlog refinement, and technical estimation</li></ul>
EXPERIENCE &amp; REQUIREMENTS
Must-Have<ul><li>5-6 years of hands-on Data Engineering experience in production environments</li><li>Deep expertise in Azure ecosystem &mdash; ADLS Gen 2, ADF, Azure SQL Database, and Delta Lake</li><li>Strong command of PySpark, Python, and SQL for large-scale data transformation</li><li>Proven track record building and operating Medallion Architecture (Bronze/Silver/Gold) on Azure</li><li>Experience designing data warehouses and data lake solutions at enterprise scale</li><li>Familiarity with CI/CD pipelines, version control (Git), and DevOps practices in a data context</li></ul>
Nice-to-Have<ul><li>Exposure to AWS or GCP in addition to Azure</li><li>Experience supporting or building Al/ML data pipelines and feature stores</li><li>Knowledge of streaming frameworks &mdash; Kafka, Event Hubs, or Spark Structured Streaming</li><li>Azure certifications (DP-203, AZ-900 or equivalent)</li></ul></div>

Brookfield Properties

<div>Location
Charleston - 997 Morrison Drive, Suite 402
Business
We know that a &ldquo;one-size-fits-all&rdquo; approach doesn&rsquo;t work when it comes to residential living. That&rsquo;s why, at Brookfield Properties, our portfolio features a wide range of options for any stage of life. And though our properties may be diverse, one thing is universal: all offer the unparalleled quality, service, and support our residents deserve.
If you&rsquo;re ready to be a part of our team, we encourage you to apply.
Job Description
Position Summary
The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and cloud-based data systems that support analytics and data-driven decision-making across the organization. This role requires expertise in data architecture, ETL development, and modern cloud technologies, with a focus on ensuring high-quality, reliable, and efficient data solutions. The ideal candidate will have strong proficiency in Python, SQL, AWS services such as S3 and Redshift. Experience integrating Salesforce data and working with orchestration tools such as Airflow or AWS Glue is also highly valued.
 
 
In this role, the Senior Data Engineer will collaborate closely with data analysts, scientists, software engineers, and business stakeholders to improve data accessibility, performance, and scalability. Key responsibilities include developing and maintaining automated ETL frameworks, managing enterprise data products, implementing DevOps and CI/CD practices, and ensuring data quality and governance standards are met. The position also involves researching and adopting emerging technologies to continuously enhance the organization&rsquo;s data infrastructure and operational efficiency.
 
 
The ideal candidate will possess strong problem-solving abilities, excellent communication skills, and experience working within agile development environments. Preferred qualifications include certifications in cloud or data engineering platforms, familiarity with non-relational databases and OpenSearch technologies, and exposure to business intelligence tools such as Tableau or Power BI. Success in this role will be measured by pipeline performance, data reliability, cross-functional collaboration, and contributions toward innovation and infrastructure optimization.
<div>1. Pipeline Development &amp; Data Integration (50%)
 
Design, develop, optimize, and maintain scalable ETL/ELT pipelines and cloud-based data integrations across enterprise systems, APIs, and operational platforms including Yardi and Salesforce. Build reliable, high-performance workflows that support the movement and transformation of data from SQL Server and other source systems into AWS-based analytics platforms including Redshift and S3.
 
 
Key Areas:
 
<ul><li>ETL/ELT pipeline development and optimization
</li><li>SQL Server, API, Yardi, Salesforce, and third-party integrations
</li><li>AWS S3 and Redshift data workflows
</li><li>Airflow and AWS Glue orchestration
</li><li>Pipeline monitoring, reliability, and SLA management</li></ul></div>
<div>2. Collaboration with Analytics, Data Science, and Stakeholders and Data Enablement 30%
 
Develop and maintain enterprise datasets, models, and transformation frameworks while partnering with Analytics, Data Science, AI Initiatives, and Business teams to refine requirements, improve data accessibility, and deliver trusted datasets that support reporting, analytics, and operational decision-making.
 
 
Key Areas:
 
<ul><li>Data modeling and warehousing
</li><li>Data quality, governance, and documentation
</li><li>Cross-functional collaboration with business, analytics and AI teams
</li><li>Dataset refinement and business requirements gathering
</li><li>Support for BI, AI/ML, and operational analytics initiatives</li></ul></div>
<div>3. Architecture, Strategic Initiatives &amp; Operational Excellence (20%)
 
Contribute to enterprise data platform and strategy through participation in large-scale initiatives, complex integration design, and modernization of data infrastructure. Support scalable and reliable operations through DevOps, automation, CI/CD, and infrastructure management best practices.
 
Key Areas:
 
<ul><li>Enterprise data architecture and integration design
</li><li>Strategic technology evaluation and innovation
</li><li>Infrastructure automation and CI/CD practices
</li><li>Docker, Terraform, and deployment management
</li><li>Agile/Scrum participation and operational support</li></ul></div>
Education
Undergraduate (Bachelor) Degree in MIS, Computer Science, Information Technology required
Work Experience
<ul><li>5 - 7 Years of experience developing ETL &amp; System Integration pipelines required</li>
<li>5 - 7 Years of experience designing, building, and improving large data models in complex environments required</li>
<li>5 - 7 Years experience with Cloud Technologies like Airflow, Glue, or similar ETL Tools</li>
<li>5 - 7 Years of experience with SQL, Redshift, Snowflake or similar data warehouse solutions required</li>
<li>5 - 7 Years of experience developing complex Python code to support various integration needs</li>
</ul>Travel
Travel up to 20% of the time; rarely travel
Great Incentives!
Brookfield Properties cares about the well-being and work-life balance of our valued associates! To show how much we care, we offer awesome incentives that include:
<ul><li>Full benefits package
</li><li>Generous paid time off
</li><li>401(k) with company match
</li><li>Growth and advancement opportunities
</li></ul>Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information. Drug free workplace
#LI-JR1
We are proud to create a diverse environment and are proud to be an equal opportunity employer. We are grateful for your interest in this position, however, only candidates selected for pre-screening will be contacted.
#BPMF</div>

GSSTech Group

<div>We are looking for a highly skilled Senior Data Engineer with strong expertise in PySpark, Python, and Big Data technologies to design, build, and optimize scalable data platforms and pipelines. The ideal candidate will work closely with Data Scientists, Business Analysts, and Analytics Delivery teams to develop high-performance analytics solutions and support advanced data science initiatives. 
Requirements 
 
Key Responsibilities<ul><li>
Collaborate with Analytics Delivery Leads and Lead Data Engineers to understand business requirements and deliver impactful data solutions.</li><li>
Work closely with Data Scientists and cross-functional teams to solve complex business problems through data engineering solutions.</li><li>
Manage data onboarding, data access, and stakeholder coordination for analytics initiatives.</li><li>
Design, develop, and maintain scalable, secure, and high-performance data pipelines.</li><li>
Acquire, ingest, process, and transform large-scale structured and unstructured datasets.</li><li>
Implement data engineering best practices for building reliable and production-ready data platforms.</li><li>
Perform data wrangling, cleansing, transformation, and feature engineering for machine learning and analytics use cases.</li><li>
Design and develop modular data pipelines to generate reusable features and modeling datasets.</li><li>
Build and optimize data architectures supporting advanced analytics and machine learning workloads.</li><li>
Contribute to data platform design by selecting appropriate technologies across Big Data, SQL, and NoSQL ecosystems.</li><li>
Ensure data quality, integrity, governance, security, and scalability across the data lifecycle.</li><li>
Participate in Agile squads and collaborate effectively with stakeholders across business and technology teams.</li><li>
Contribute to enterprise data architecture strategy and roadmap aligned with business objectives.</li></ul>
Required Technical SkillsCore Data Engineering<ul><li>
Strong experience in Data Engineering and Big Data solutions.</li><li>
Expert-level proficiency in PySpark.</li><li>
Strong programming experience in Python.</li><li>
Experience building large-scale distributed data processing pipelines.</li></ul>
Data Processing &amp; ETL<ul><li>
Data Ingestion</li><li>
Data Transformation</li><li>
Data Wrangling</li><li>
Data Preparation</li><li>
Data Modeling</li><li>
Feature Engineering</li><li>
ETL/ELT Development</li><li>
Batch Processing</li><li>
Data Pipeline Development</li></ul>
Big Data Technologies<ul><li>
Apache Spark / PySpark</li><li>
Distributed Data Processing Frameworks</li><li>
Big Data Ecosystems</li></ul>
Database Technologies<ul><li>
Strong SQL expertise</li><li>
Experience with Relational Databases</li><li>
Experience with NoSQL Databases</li><li>
Data Warehousing Concepts</li></ul>
Cloud &amp; Analytics Platforms (Preferred)<ul><li>
Azure Data Platform</li><li>
AWS Data Services</li><li>
Google Cloud Data Services</li><li>
Databricks</li><li>
Hadoop Ecosystem</li></ul>
Machine Learning Data Support<ul><li>
Feature Engineering for ML Models</li><li>
Data Preparation for Analytics and AI Use Cases</li><li>
Building Modeling and Feature Tables</li><li>
Supporting Data Science Workloads</li></ul>
Engineering Best Practices<ul><li>
Software Engineering Principles</li><li>
Data Pipeline Optimization</li><li>
Data Quality Management</li><li>
Performance Tuning</li><li>
Scalability &amp; Security</li><li>
Version Control (Git)</li><li>
CI/CD Concepts</li><li>
Documentation Standards</li></ul>
Required Soft Skills<ul><li>
Strong stakeholder management and communication skills.</li><li>
Experience working with Business Analysts, Data Scientists, and Product Teams.</li><li>
Ability to translate business requirements into scalable data solutions.</li><li>
Strong analytical and problem-solving skills.</li><li>
Experience working in Agile/Scrum environments.</li><li>
Ability to work independently and within cross-functional teams.</li></ul>
Preferred Qualifications<ul><li>
Experience working in enterprise-scale data platforms.</li><li>
Experience supporting machine learning and advanced analytics initiatives.</li><li>
Exposure to cloud-native data engineering solutions.</li><li>
Experience designing modern data architectures and data lake environments.</li></ul></div>

TAWANTECH

<div>Job Summary
We are seeking a highly skilled and motivated Senior Data Engineer to design, develop, and optimize scalable data platforms and pipelines within the banking and financial services domain. The ideal candidate will have strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems. You will be responsible for building robust, secure, and scalable data solutions that support regulatory reporting, risk management, customer analytics, and business intelligence initiatives.
Key Responsibilities<ul><li>
Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.</li><li>
Build and optimize data workflows using Apache Spark and Apache Airflow.</li><li>
Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.</li><li>
Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.</li><li>
Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.</li><li>
Ensure data quality, governance, security, and regulatory compliance across data platforms.</li><li>
Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.</li><li>
Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.</li><li>
Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.</li><li>
Support regulatory reporting, audit requirements, and data lineage initiatives.</li><li>
Mentor junior engineers and contribute to technical architecture and best practices.</li></ul> 

Requirements 
 
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>
4+ years of hands-on experience in Data Engineering.</li><li>
Strong programming skills in Python and advanced SQL.</li><li>
Experience with Apache Spark for large-scale data processing.</li><li>
Experience with Apache Airflow for workflow orchestration and scheduling.</li><li>
Solid understanding of Data Warehouse and Data Lake architectures.</li><li>
Proven experience building and maintaining ETL/ELT pipelines.</li><li>
Experience working with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.</li><li>
Strong knowledge of data modeling techniques and performance optimization strategies.</li><li>
Experience implementing CI/CD pipelines and DataOps methodologies.</li><li>
Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.</li><li>
Excellent problem-solving, analytical, and communication skills.</li></ul>
Preferred Qualifications<ul><li>
Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.</li><li>
Knowledge of financial data governance, security, and compliance standards.</li><li>
Experience with real-time and batch data processing in highly regulated environments.</li><li>
Familiarity with containerization technologies such as Docker and Kubernetes.</li><li>
Experience with data lineage, metadata management, and data quality frameworks.</li></ul></div>

Snooze an AM Eatery

<div><div>Our Snooze story
We are Snooze, the OG brunch leaders who have never stopped flipping the script on breakfast, powered by culinary creativity, unmatched hospitality, and a passion for our communities. Our Snoozers bring their authentic selves to work every day. This allows us to serve our Guests through genuine care and radical hospitality. 
Joining Snooze means joining a team that disrupts the ordinary. Our menu is built on responsibly sourced ingredients&mdash;cage-free eggs, respect for animal welfare, and no added hormones or antibiotics&mdash;and bold ideas that energize Snoozers and Guests alike. Our impact goes beyond the plate, we&rsquo;ve invested over $1M into local communities and created inclusive, vibrant spaces for the neighborhoods we serve. 
We know that, just like pancakes, our people are better with passion, purpose, and pride. Here, you&rsquo;ll find more than a job. You&rsquo;ll find a place to fuel your future, be celebrated for who you are, and help us make mornings brighter, bolder, and better for everyone. Will you join us? 
What does your role bring to the table?
The Senior Data Engineer serves as a technical powerhouse within Snooze&rsquo;s data ecosystem, reporting directly to the Vice President of Data Engineering and Analytics. In this role, you will design, harden, and scale the infrastructure required to power advanced analytics and artificial intelligence applications across our 65+ locations. By prioritizing strategy, growth, and monetization in your architectural decisions, you will transform complex data challenges into actionable business value, empowering cross-functional teams and creating a clear ROI for our data platform.
The Position specifics!
Taking on the role of Senior Data Engineer isn&rsquo;t just about bacon and pancakes. This role requires deep technical execution combined with an understanding of enterprise value creation. The responsibilities of this position include:
<ul><li>Enterprise Data Modeling: Architect and implement scalable, robust data models (e.g., dimensional modeling, star schemas) that serve as the single source of truth for both self-service operational reporting and advanced machine learning and AI applications.</li></ul>
<ul><li>Advanced SQL &amp; Query Optimization: Write, review, and continuously optimize highly complex SQL queries within Snowflake to ensure performant, cost-effective data retrieval at enterprise scale.</li></ul>
<ul><li>Data Warehouse &amp; Lake Security: Harden and optimize our Snowflake data warehouse and AWS S3 data lake environments, ensuring robust governance, security, and scalability.</li></ul>
<ul><li>Semantic Layer Optimization: Utilize dbt to build, manage, and continuously improve our enterprise semantic layer, ensuring data consistency and enabling scalable self-service analytics for Operations and Marketing.</li></ul>
<ul><li>AI Workflow Integration: Lead the development and integration of AI applications directly into Snooze's operational and back-office workflows. Demonstrate expertise in prompt engineering and optimization to standardize and improve AI interactions across the organization.</li></ul>
<ul><li>Machine Learning Deployment: Architect and deploy production-ready machine learning models within an AWS environment for applications such as optimizing labor forecasting, menu engineering, and supply chain efficiency.</li></ul>
<ul><li>API Development: Design, build, and maintain robust, high-performance data APIs using frameworks such as FastAPI or Flask to seamlessly integrate data products into our evolving tech stack.</li></ul>
<ul><li>Pipeline Orchestration &amp; Resilience: Develop and maintain complex data pipelines using Apache Airflow. Enforce strict pipeline reliability standards and rigorous error handling, such as ensuring data pipelines explicitly error out and trigger alerts when critical vendor files are missing.</li></ul>
Is this role the right fit for you?
If this is the right role for you, you must possess the following skillsets:
<ul><li>Data Architecture &amp; Modeling: Proven ability to design scalable, dimensional data models that translate complex business logic into intuitive, efficient data structures.</li></ul>
<ul><li>Advanced SQL: Expert-level SQL proficiency, including advanced query optimization, performance tuning, cost-reduction strategies, and complex window functions.</li></ul>
<ul><li>Apache Airflow: Advanced orchestration, custom operator development, and strict error handling implementation.</li></ul>
<ul><li>dbt: Hands-on experience structuring, testing, and optimizing a robust semantic layer.</li></ul>
<ul><li>Machine Learning: Applied experience deploying production-ready ML models within an AWS ecosystem.</li></ul>
<ul><li>FastAPI / Flask: Proven ability to build secure, high-performance API frameworks for data serving.</li></ul>
<ul><li>AI Integration: Demonstrated capability to integrate AI/LLMs into enterprise workflows and operational pipelines.</li></ul>
<ul><li>An entrepreneurial spirit with a focus on delivering technical solutions that create enterprise value and operational leverage.</li></ul>
<ul><li>Decisive problem-solving skills to improve organizational efficiency.</li></ul>
<ul><li>A positive, glass-half-full attitude about your work.</li></ul>
<ul><li>Ability to have fun, dance, and laugh under/during stressful situations (yes, seriously)</li></ul>
Let&rsquo;s talk prerequisites! (Education, credentials, and experience)
<ul><li>Must be authorized to work in the United States.</li></ul>
<ul><li>5+ years of dedicated experience in data engineering, complex data modeling, deploying machine learning models, and scaling cloud data ecosystems.</li></ul>
<ul><li>Deep practical expertise in modern cloud data platforms, orchestration tools, and languages (e.g., Snowflake, Airflow, SQL, Python).</li></ul>
Let&rsquo;s get physical! (additional requirements)
<ul><li>Must have the stamina to work 40 to 45 hours per week.</li></ul>
<ul><li>Minimal travel required.</li></ul>
<ul><li>Home base is in Denver, CO at the Snooze Restaurant Support Center (3 days a week required in office)</li></ul>
The Bennie-fits
This role comes with some sweet perks! See below:
<ul><li>Competitive Annual Snooze Incentive Bonus Program</li></ul>
<ul><li>Snooze equity program eligibility immediately upon hire or after one year in role</li></ul>
<ul><li>Competitive Health, Dental, Vision, Pet and Accident Insurance Plans with employer contribution</li></ul>
<ul><li>Employer Paid Short Term Disability and Life insurance benefits</li></ul>
<ul><li>401k/Roth 401k Plans</li></ul>
<ul><li>Snooze Work Hard, Play Hard Days (Unlimited Time off Program)</li></ul>
<ul><li>Five (5) paid sick days within a calendar year (up to 48 hours)</li></ul>
<ul><li>Paid Holidays (RSC Holiday Schedule), Birthday and Snooze Anniversary Date</li></ul>
<ul><li>Snooze Cell Phone Stipend</li></ul>
<ul><li>Snooze Meal Benefits for Yummy Snooze Food</li></ul>
<ul><li>Other benefits including field trips, community engagement, and personal and professional growth</li></ul>
The Nitty Gritty Details
Denver area base salary range: $140,000 to $170,000 per year
The base salary range above represents the low and high end of the Snooze salary range for this position. Actual salaries will vary and may be above or below the range based on various factors including but not limited to experience, education, training, location, merit system, quantity or quality of production, responsibilities, and regular and/or necessary travel. The range listed is just one component of Snooze&rsquo;s total compensation package for employees.
At Snooze, we encourage Snoozers and Guests to show up as their true, authentic selves &ndash; because everyone has a seat at our table. We celebrate individuality and encourage our Snoozers to be their best selves every day. As a result, Snooze is proud to be an Equal Opportunity Employer. In accordance with applicable federal, state, and local laws, it is the policy of Snooze to recognize the essential rights of all applicants and Snoozers as individuals and to recruit, hire and promote the best-qualified person to do a particular job without regard to race, religion, sex, age, disability, national origin, or other protected classes. Our only consideration in selecting a person for a job is the person&rsquo;s ability to perform the job in question.
The physical demands described are representative of those that must be met by a Snoozer to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. This document does not create an employment contract, implied or otherwise, other than an &ldquo;at will&rdquo; relationship! This description is proprietary and confidential to Snooze HoldCo Inc.</div>
INDEXECINDUS</div>

Garner Health

<div>
 
 Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all.
 
 
 
 We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures.
 
 
 Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.
 
 
 
 About the role:
 
 
 
 We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.
 
 
 
 Where you will work:
 
 
 
 This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Build, optimize, and maintain data pipelines that power our business
 </li>
 <li>
 Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
 </li>
 <li>
 Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies
 </li>
 <li>
 Protect our users' privacy and security through best practices
 
 
 </li>
 </ul>
 
 The ideal candidate has:
 
 
 
 <ul>
 <li>
 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
 </li>
 <li>
 Expertise in SQL, job experience, and demonstrated strength with Python
 </li>
 <li>
 Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
 </li>
 <li>
 Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake)
 </li>
 <li>
 Expertise with SQL tuning, Spark development, medallion and event-driven architectures.
 </li>
 <li>
 Familiarity with healthcare or insurance
 </li>
 <li>
 Familiarity with data security and HIPAA compliance
 </li>
 <li>
 A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
 
 
 </li>
 </ul>
 
 Technologies we use:
 
 
 
 <ul>
 <li>
 Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker
 
 
 </li>
 </ul>
 This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
 
 
 
 Compensation Transparency:
 
 
 
 The target salary range for this position is $220,000.00 - $245,000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
 
 
 
 Fraud and Security Notice:
 
 
 
 Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com.
 
 
 
 Equal Employment Opportunity:
 
 
 
 Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
 
 
 Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.
</div>

Search 8721+ Senior data engineer jobs near you this June. New roles added regularly across leading industries. Apply today.

8721 senior data engineer jobs Near Me

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer