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Data Engineer

Shields Group Search

<div>
 <p>
  <strong>
   Data Engineer
  </strong>
 </p>
 <p>
  <strong>
   Hybrid in NYC
  </strong>
 </p>
 <p>
  <strong>
   Full-Time
  </strong>
 </p>
 <p>
  <strong>
   $175,000-$225,000 base + upside depending on experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Company
  </strong>
 </p>
 <p>
  Shields Group Search is partnering with an innovative private banking and wealth infrastructure company building modern tools for modern clients. Their platform is designed to help private investors access liquidity more easily while driving transparency into historically opaque markets, including fine art and commercial real estate.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They are hiring a
  <strong>
   Data Engineer
  </strong>
  to help build a world-class data infrastructure that supports the modernization of private banking for independent wealth managers and family offices. This person will be responsible for designing, building, and maintaining robust data pipelines, ETL processes, and data warehousing solutions that enable analytics and drive insights across the platform.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will work closely with engineering and product teams to architect scalable, reliable data systems. The stack includes
  <strong>
   Python, SQL, cloud data warehousing platforms, and modern data engineering tooling
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  This position reports directly to the
  <strong>
   Head of Engineering
  </strong>
  . The ideal candidate will have meaningful educational and/or professional experience designing and implementing scalable data systems, building ETL pipelines, and writing clean, maintainable, well-tested code.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This team is looking for someone who is genuinely excited to spend most of their day coding and building scalable systems, while also contributing architectural input. They would strongly prefer someone in
  <strong>
   NYC
  </strong>
  , and
  <strong>
   2-3 days per week in-office
  </strong>
  should be expected. They also want someone who is comfortable building with and using
  <strong>
   agentic systems
  </strong>
  . This is not the right fit for someone optimizing primarily for work/life balance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Participate in the full software development life cycle from planning to deployment
  </li>
  <li>
   Design and build scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  </li>
  <li>
   Collaborate with the team to design, develop, unit test, and support new features
  </li>
  <li>
   Strive for high quality and rapid output through agile software development best practices
  </li>
  <li>
   Architect data warehouses and data lakes, optimizing for query performance and cost efficiency
  </li>
  <li>
   Perform code reviews and provide constructive feedback to peers
  </li>
  <li>
   Maintain and improve the tech stack
  </li>
  <li>
   Develop flexible and well-structured data pipelines and data warehouse schemas
  </li>
  <li>
   Implement effective security protocols, data protection measures, and storage solutions
  </li>
  <li>
   Troubleshoot, debug, and upgrade software
  </li>
  <li>
   Ensure software meets all requirements of quality, security, and configurability
  </li>
  <li>
   Contribute to documentation, tests, and automation pipelines
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field
  </li>
  <li>
   Minimum of 3 years of experience in data engineering, ETL development, or analytics engineering, ideally within fintech or financial services
  </li>
  <li>
   Advanced proficiency in Python and SQL for data pipeline development and analysis
  </li>
  <li>
   Familiarity with CI/CD tools
  </li>
  <li>
   Experience with data warehousing platforms such as Snowflake, BigQuery, Redshift, or similar, as well as modern ETL tools
  </li>
  <li>
   Strong knowledge of the software development lifecycle
  </li>
  <li>
   Experience with testing and debugging
  </li>
  <li>
   Proficient understanding of code versioning tools such as Git
  </li>
  <li>
   Excellent problem-solving skills and attention to detail
  </li>
  <li>
   Excellent communication and teamwork skills
  </li>
  <li>
   Ability to work independently and take initiative
  </li>
  <li>
   Willingness and ability to build with agentic systems in a practical, hands-on way
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why This Role
  </strong>
 </p>
 <p>
  This is an opportunity to help architect a state-of-the-art platform and partner with an experienced leadership team during a period of rapid development. The team has additional flexibility on compensation for stronger candidates, with total base salary landing closer to
  <strong>
   $200,000-$225,000
  </strong>
  for candidates with more experience.
 </p>
</div>


Whatnot

<div>
 <strong>
  <strong>
   🚀 Join the Future of Commerce with Whatnot!
   <br/>
   <br/>
  </strong>
 </strong>
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 <br/>
 <br/>
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 <br/>
 <br/>
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 <br/>
 <br/>
 <strong>
  💻 Role
  <br/>
  <br/>
 </strong>
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 <br/>
 <br/>
 As our newest
 <strong>
  Data Engineer
 </strong>
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
 <br/>
 <br/>
 <strong>
  On Any Given Day, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
  </li>
  <li>
   Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
  </li>
  <li>
   Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
  </li>
  <li>
   Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
  </li>
  <li>
   Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
  </li>
  <li>
   Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
   <br/>
   <br/>
  </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
 <br/>
 <br/>
 <strong>
  👋 You
  <br/>
  <br/>
 </strong>
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 <br/>
 <br/>
 <ul>
  <li>
   Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
  </li>
  <li>
   Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
  </li>
  <li>
   Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
  </li>
  <li>
   Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
  </li>
  <li>
   Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
  </li>
  <li>
   Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
  </li>
  <li>
   Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
   <br/>
   <br/>
  </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
 <br/>
 <br/>
 <strong>
  We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
  <br/>
  <br/>
 </strong>
 <strong>
  💰Compensation
  <br/>
  <br/>
 </strong>
 <strong>
  For Full-Time (Salary)
  <br/>
  <br/>
 </strong>
 <strong>
  US based applicants:
 </strong>
 $180,000/year to $260,000/year + benefits + equity.
 <br/>
 <br/>
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 <br/>
 <br/>
 <strong>
  🎁 Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Generous Holiday and Time off Policy
  </li>
  <li>
   Health Insurance options including Medical, Dental, Vision
  </li>
  <li>
   Work From Home Support
  </li>
  <ul>
   <li>
    Home office setup allowance
   </li>
   <li>
    Monthly allowance for cell phone and internet
   </li>
  </ul>
  <li>
   Care benefits
  </li>
  <ul>
   <li>
    Monthly allowance for wellness
   </li>
   <li>
    Annual allowance towards Childcare
   </li>
   <li>
    Lifetime benefit for family planning, such as adoption or fertility expenses
   </li>
  </ul>
  <li>
   Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  </li>
  <li>
   Monthly allowance to dogfood the app
  </li>
  <ul>
   <li>
    All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
   </li>
  </ul>
  <li>
   Parental Leave
  </li>
  <ul>
   <li>
    16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
   </li>
  </ul>
 </ul>
 <strong>
  <strong>
   💛 EOE
   <br/>
   <br/>
  </strong>
 </strong>
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 <br/>
 <br/>
 Compensation Range: $180K - $260K
 <br/>
 <br/>
</div>


V-Soft Consulting Group, Inc.

<div>
 <strong>
  Primary Location
 </strong>
 : New York City, New York
 <br/>
 <br/>
 V-Soft Consulting is currently hiring for a
 <strong>
  Data Engineer
 </strong>
 for our premier client in
 <br/>
 <br/>
 <strong>
  New York City, New York.
  <br/>
  <br/>
 </strong>
 <strong>
  Education And Experience &raquo;
  <br/>
  <br/>
 </strong>
 B.S. or B.A in Computer Science or related field.
 <br/>
 <br/>
 <ul>
  <li>
   5&ndash;7 years in data engineering or analytics engineering.
  </li>
  <li>
   Experience operating data ware/lake-houses and building semantic layers.
  </li>
  <li>
   Experience with external client reporting, embedded analytics, and multi-tenant considerations (modeling, partitioning, access controls).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge, Skills And Abilities &raquo;
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong SQL and practical experience with dbt for transformations and testing.
  </li>
  <li>
   Hands-on experience with data modeling and performance optimization.
  </li>
  <li>
   Professional coding experience with both Java and Python.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cost/performance tuning across data ware/lake-housing, query engines, BI tools; caching strategies and aggregation design.
  </li>
  <li>
   Data documentation, lineage, and cataloging practices; strong habits around reproducibility and testing.
  </li>
  <li>
   Apply report design and visualization best practices (effective layouts, clear metric definitions, consistent interactions, and performant SQL+DAX queries) to deliver executive ready dashboards.
  </li>
  <li>
   Experience with any of the following: Azure Fabric, Power BI, Dremio, Apache Iceberg, Apache Parquet, Datadog
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <strong>
  Job Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrated ability to mentor or coach in software engineering practices.
  </li>
  <li>
   Effective communication and requirement gathering
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Interested?
  <br/>
  <br/>
 </strong>
 Qualified candidates should send their resumes to
 <strong>
  rprudhvi@vsoftconsulting.com
  <br/>
  <br/>
 </strong>
 V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks.
 <br/>
 <br/>
 As a valued V-Soft Consultant, you&rsquo;re eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth.
 <br/>
 <br/>
 V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 <br/>
 <br/>
 For more information or to view all our open jobs, please visit www.vsoftconsulting.com or call (844) 425-8425.
 <br/>
 <br/>
</div>


Figma

<div>
 Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma&rsquo;s platform helps teams bring ideas to life&mdash;whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
 <br/>
 <br/>
 We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. You&rsquo;ll also work closely with stakeholders across business teams including sales, marketing, and finance to ensure that the data they need arrives promptly and reliably. You&rsquo;ll play an integral role in building the metrics and self-serve reporting capabilities to unlock Figma&rsquo;s next phase of growth.
 <br/>
 <br/>
 This is a great role for an individual who is passionate about working with data and data systems, and who loves solving problems. You&rsquo;ll have a good sense for when it makes sense to build fast, scrappy solutions to unblock a key stakeholder vs. when to push back or bring in an outside service. The ideal candidate will be a great communicator who can help coordinate across multiple internal and external teams and takes pride in building end-to-end projects.
 <br/>
 <br/>
 This is a full time role that can be held from one of our US hubs or remotely in the United States.
 <br/>
 <br/>
 <strong>
  What you'll do at Figma
 </strong>
 <strong>
  :
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own, build, and maintain scalable data pipelines that connect various cloud data sources.
  </li>
  <li>
   Develop a deep understanding of Figma&rsquo;s core data models and optimize data pipelines for scale.
  </li>
  <li>
   Partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self-service.
  </li>
  <li>
   Work with a wide range of cross-functional stakeholders to derive requirements and architect shared datasets; ability to document, simplify and explain complex problems to different types of audiences.
  </li>
  <li>
   Establish best practices for the development of specialized data sets for analytics and modeling.
   <br/>
   <br/>
  </li>
 </ul>
 We'd love to hear from you if you have:
 <br/>
 <br/>
 <ul>
  <li>
   4+ years in a relevant field.
  </li>
  <li>
   Fluency with both SQL and Python.
  </li>
  <li>
   Familiarity with Snowflake, dbt, Dagster, and ETL/reverse ETL tools.
  </li>
  <li>
   Excellent judgment and creative problem solving skills.
  </li>
  <li>
   A self-starting mindset along with strong communication and collaboration skills.
   <br/>
   <br/>
  </li>
 </ul>
 While not required, it&rsquo;s an added plus if you also have:
 <br/>
 <br/>
 <ul>
  <li>
   Knowledge in data modeling methodologies to design and build robust data architectures for insightful analytics.
  </li>
  <li>
   Experience with business systems such as Salesforce, Customer IO, Stripe, NetSuite is a big plus.
   <br/>
   <br/>
  </li>
 </ul>
 At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
 <br/>
 <br/>
 <strong>
  Pay Transparency Disclosure
  <br/>
  <br/>
 </strong>
 If based in Figma&rsquo;s San Francisco or New York hub offices, this role has the annual base salary range stated below.
 <br/>
 <br/>
 Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
 <br/>
 <br/>
 Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma&rsquo;s compensation and benefits are subject to change and may be modified in the future.
 <br/>
 <br/>
 Annual Base Salary Range:
 <br/>
 <br/>
 $140,000&mdash;$348,000 USD
 <br/>
 <br/>
 At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
 <strong>
  ,
 </strong>
 or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
 <br/>
 <br/>
 We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
 <br/>
 <br/>
 Examples of accommodations include but are not limited to:
 <br/>
 <br/>
 <ul>
  <li>
   Holding interviews in an accessible location
  </li>
  <li>
   Enabling closed captioning on video conferencing
  </li>
  <li>
   Ensuring all written communication be compatible with screen readers
  </li>
  <li>
   Changing the mode or format of interviews
   <br/>
   <br/>
  </li>
 </ul>
 To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
 <br/>
 <br/>
 By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
</div>


Garner Health

<div>
 <strong>
  Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all.
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About the role:
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Where you will work:
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  What you will do:
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The ideal candidate has:
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technologies we use:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker
   <br/>
   <br/>
  </li>
 </ul>
 This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
 <br/>
 <br/>
 <strong>
  Compensation Transparency:
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 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.
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  Fraud and Security Notice:
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 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.
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  Equal Employment Opportunity:
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 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.
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 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>


Senior Data Engineer

Algomarketing

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
<b>
JOB TITLE</b> Marketing Data Operations Analyst</div><div></div><div><br>
<b>
LOCATION</b> US, East Coast</div><div></div><div><br>
<b>
CONTRACT</b> 6-month contract, with extension opportunities</div><div><br>
</div><div><b>ABOUT ALGOMARKETING</b></div><div><b>
&mdash;</b></div><div>
Algomarketing are experts at delivering programs and resourcing for strategic roles within Marketing teams. We are a global team of Marketing experts, spanning 30 countries across Asia Pacific, the Americas, Africa, and Europe. Highly experienced in enterprise B2B Marketing, and specialized in technology and SaaS.</div><div></div><div><br>
Our team works collaboratively, with experience from the world's largest and most ambitious brands, including Google, Stripe, Workday, Worldpay, Accenture, ACI Worldwide, GSK, and Allianz.</div><div></div><div><br>
We empower Marketers through Algorithmic Marketing, a data-driven approach that delivers deeper insights, faster execution, and streamlined operations.</div><div></div><div><br>
Visit our website to read more about us.</div><div></div><div><b><br>
ABOUT THE ROLE</b></div><div><b>
&mdash;</b></div><div>
The Marketing Data Operations Team covers the management and maintenance of the infrastructure that provides the Marketing Database for the organization. This also involves the processes and procedures used to collect, ingest, process, store, analyse and distribute data effectively and efficiently for Enterprise Marketing.</div><div></div><div><br>
Reporting into the Senior Manager, Marketing Data Operations, the role of the Marketing Data Operations Analyst leverages data to drive effective marketing campaigns through segmentation, audience creation and database management. The Marketing Data Operations Analyst plays a critical role in collaborating with marketing teams to understand priorities and ensures alignment between data strategies and regional objectives. This role manages and enhances the marketing database's integrity, develops targeted audience segments, and creates innovative segmentation strategies for email campaigns.</div><div><b>
&mdash;</b></div><ul>
<li>Apply best practices to uphold high standards of data quality, facilitating precise audience segmentation, reporting and analysis.</li>
<li>Leading the continuous efforts to look for ways to improve data quality within the database to maximise marketable audiences and database utilisation.</li>
<li>Create, manage and develop audiences and segmentation models for improved audience targeting.</li>
<li>Gathering marketer requirements to build effective audience lists for marketing campaigns.</li>
<li>Leading the charge to proactively create and maintain communication with the marketing team to define audience criteria, ensuring alignment with regional priorities and effective segmentation.</li>
<li>Drive collaboration with marketers to create and test new audience segments, presenting ideas and solutions to enhance database performance and drive engagement.</li>
<li>Provide ongoing sessions with the marketing team to help improve understanding and best utilisation of Zooms marketing database.</li>
<li>Owning the responsibility to ensure compliance with privacy laws (e.g. GDPR) and internal opt-in requirements for both new data and data stored in the database.</li>
<li>Collaborating with the Data Operations Team, as well as our wider Marketing Ops and cross-functional IT and Data Teams to ensure that the marketing database in our Data Warehouse platform remains up-to-date and aligned with organizational needs.</li>
<li>Support in the processing and management of incoming lead data, ensuring the accurate classification of data.</li></ul><div><br>
</div><div><b>
&mdash;</b></div><ul>
<li>Ideally has a Bachelor's degree in a technology or computer science-related subject.</li>
<li>5+ years of related experience working with large-scale databases that focus on both B2C/B2B data.</li>
<li>Very strong knowledge of marketing data, tools, and technologies, including CRM systems, CDP/SCV, marketing automation platforms, data warehouses, and dashboard/reporting tools.</li>
<li>Very strong expertise in data analysis, reporting, and strong proficiency in SQL or equivalent.</li>
<li>Very strong attention to detail and analytical mindset, with an ability to turn data into actionable insights.</li>
<li>Excellent communication skills to collaborate with cross-functional teams and key stakeholders, with an ability to explain complex technical concepts to non-technical stakeholders.</li>
<li>Problem-solving mindset with attention to detail, and can work independently and take initiative.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><div><b><br>
&mdash;</b></div><ul>
<li>Apply best practices to uphold high standards of data quality, facilitating precise audience segmentation, reporting and analysis.</li>
<li>Leading the continuous efforts to look for ways to improve data quality within the database to maximise marketable audiences and database utilisation.</li>
<li>Create, manage and develop audiences and segmentation models for improved audience targeting.</li>
<li>Gathering marketer requirements to build effective audience lists for marketing campaigns.</li>
<li>Leading the charge to proactively create and maintain communication with the marketing team to define audience criteria, ensuring alignment with regional priorities and effective segmentation.</li>
<li>Drive collaboration with marketers to create and test new audience segments, presenting ideas and solutions to enhance database performance and drive engagement.</li>
<li>Provide ongoing sessions with the marketing team to help improve understanding and best utilisation of Zooms marketing database.</li>
<li>Owning the responsibility to ensure compliance with privacy laws (e.g. GDPR) and internal opt-in requirements for both new data and data stored in the database.</li>
<li>Collaborating with the Data Operations Team, as well as our wider Marketing Ops and cross-functional IT and Data Teams to ensure that the marketing database in our Data Warehouse platform remains up-to-date and aligned with organizational needs.</li>
<li>Support in the processing and management of incoming lead data, ensuring the accurate classification of data.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
About Algomarketing&reg;</b></h3><div>
At Algomarketing, we revolutionize industry standards by propelling world-leading brands to new heights with rapid insights, accelerated executions, and seamless operations. Our team leverages cutting-edge technologies like machine learning, natural language processing, and robotic process automation to transform marketing and sales landscapes.<br>
</div><div>We are a global marketing &amp; sales operations and technology consultancy with a presence in 27 countries across 6 continents. Our diverse team of 100+ marketing and MarTech experts collaborates to deliver impactful, data-driven solutions.<br>
</div><div>Join us to be part of an innovative, dynamic environment where your skills will help drive the future of marketing. Experience professional growth and make a global impact with Algomarketing.</div><div>
<br>
Learn more about our services through our customer success stories, where we've brought the concept of Algorithmic Marketing to life. Visit our website to read more.</div></div>

Marketing Data Operations Analyst- US, East Coast

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Marketing Data Operations Analyst- US, East Coast