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Data Product Engineer Jobs

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1d ago

Senior Analytics Engineer

Nitka Technologies Remote 🌍 Remote

Remote

1d ago

Full time Senior Data Analytics Data Build Tool

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Job Description

Nitka Technologies is hiring a Senior Analytics Engineer for a 100% remote, full-time engagement supporting a leading US healthcare provider. The work centers on reliability and operational excellence, building the data foundations that help teams move faster with trusted reporting. The schedule is flexible, with a requirement for at least two hours of overlap with Mountain Time business hours, and there are no time trackers.

What you will do

Build and support Snowflake pipelines and dbt Core models in GitHub, with reliable tests, clear documentation, and data health monitoring.
Create a weekly clinic availability snapshot using Prompt scheduling data, and load Dialpad call data into Snowflake.
Own new medallion-layer dbt models delivered by a consultant, then improve data quality, governance, and business definitions.
Publish discoverable data products for self-service in Domo and Snowflake, helping teams ask and answer questions with well-described, trusted datasets.

What you bring

5+ years building and supporting production data models and pipelines.
Strong hands-on experience with Snowflake, dbt Core, and SQL, including testing, source control (GitHub), and troubleshooting.
Ability to maintain clear documentation and collaborate effectively with distributed teams asynchronously.

Tools you will work with

Snowflake, dbt Core, GitHub, SQL, Prompt, Dialpad, Domo, and medallion-layer.

Nice to have

Domo semantic modeling, Azure, Prompt, Dialpad, or Microsoft Graph API experience.
Experience with Domo, Snowflake Semantic Views, or emerging Snowflake CoWork capabilities.

Benefits and working conditions

100% remote work with a flexible schedule and no time trackers.
Full-time role, 8 hours/day.
Attractive USD compensation.
Paid vacation, holidays, and sick leave.
Nearshore preferred, with at least two hours of overlap with Mountain Time business hours.

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1mo ago

Medical Analytics Data Engineer

Pfizer New York, NY 🇺🇸 Remote

New York, NY

1mo ago Closed

$124k - $207k/yr Full time Apache Airflow Big Data Bigdata

This position is no longer accepting applications (closed Sep 14, 2026).

Job Description

Build scalable analytics foundations that help data scientists develop care gap and HCP prioritization models with efficient, standards-adherent data engineering. This remote role in New York, NY supports medical analytics development through data products and cross-team partnerships, with opportunities to modernize infrastructure and improve operational efficiency.

Salary range: USD 124,400 - 207,400 per year. Work model: New York, NY (remote). Experience: 5+ years. Education: BA/BS degree.

What you’ll do

Design, develop, optimize, and maintain data architecture and pipelines, including feeding medical data sources into a data lake for ongoing projects.
Partner with a product manager and data lead to build technical architectures that support analytical models.
Identify analytics data inputs needed for use cases such as unmet need analysis (for example, claims data).
Gather, prepare, and maintain datasets required to perform analytics.
Oversee data systems in close collaboration with the data management lead, ensuring accurate collection, storage, and processing.
Enhance the data infrastructure for scalability and optimize data delivery, including automating manual processes to retrieve medical data.
Solve complex data problems to deliver insights that enable the team’s required analytics.
Create data products for the analytics and data scientist teams to improve productivity and collaboration.
Advise, consult, mentor, and coach data and analytics colleagues on data standards and practices.
Help foster a culture focused on sharing, re-use, design for scale stability, and operational efficiency for data and analytics solutions.
Lead evaluation, implementation, and deployment of emerging tools and analytical data engineering processes to improve team productivity.

What you bring

Demonstrated breadth of diverse leadership experience, including the ability to influence and collaborate with peers, coach others, and guide colleagues to meaningful outcomes and business impact.
Degree in Computer Sciences, Statistics, Clinical Informatics, or similar.
Relevant certification and/or work experience in data engineering.
BA/BS degree with 6+ years of data engineering experience, notably in healthcare, or 5+ years experience with an MBA/MS.
Proven effectiveness in cross-functional environments and strong influencing skills.
Strong interpersonal skills to build rapport and credibility with Pfizer leaders and key external stakeholders.
Ability to partner cross culturally/regionally.
Effective English verbal and written communication across scientific/technical, promotional, patient/consumer, regulatory, and media contexts, with a focus on clarity and compliance.
In-depth understanding of pharmaceutical medicine business including clinical trial design, GCP, data interpretation, drug development, and regulatory and promotional rules/guidance, legal and compliance, issue management, and business development opportunity evaluations.
Experience with Infrastructure as code, data warehousing, Apache Airflow, Kafka or similar streaming data engineering tools.
Experience with Databricks and/or DSS Data Science Studio (Dataiku).
Understanding of taxonomy structures and hierarchy.
Experience implementing methods including Tag Management Solutions such as Tealium iQ (primarily) plus GTM, Adobe Launch, Dynamic Tag Manager, or Ensighten.
Ability to work with multiple tag managers and write JavaScript code.
Marketing performance analysis experience using data aggregation (marketing and click-stream APIs), data cleaning, and transformation.
Knowledge of digital analytics, especially clickstream data, Adobe and/or Google Analytics, and Drupal platforms.
Working knowledge of Adobe Analytics, Google Analytics, /Omniture SiteCatalyst, Matomo/Piwik.
Experience with tag managers (Tealium IQ, Adobe Launch/DTM, Google Tag Manager, Piwik Pro, Signal/Bright Tag) and tag debugging tools such as Charles Proxy.
Programming languages: JavaScript, jQuery. Markup languages: HTML, CS.
1+ years in a client-facing role for solutioning and/or evangelizing technology approaches.

Benefits

401(k) plan with Pfizer matching contributions
Additional Pfizer retirement savings contribution
Paid vacation, holiday and personal days
Paid caregiver/parental and medical leave
Health benefits including medical, prescription drug, dental and vision coverage
Eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of base salary
Eligibility to participate in a share-based long term incentive program
Eligible for Relocation Package: No

Additional details

Travel: as required, up to 40% of role.
Last day to apply: August 18, 2026
Additional location: United States; Remote | #LI-PFE
Relocation package: No
U.S. work visa sponsorship (TN, O-1, H-1B, etc.) is not available for this role now or in the future.
Candidates must be authorized to be employed in the U.S. by any employer.
Pfizer is an E-Verify employer.

Sunshine Act: Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws.

EEO & Employment Eligibility: Pfizer is committed to equal opportunity employment. This position requires permanent work authorization in the United States. If you need assistance completing the application process or interviewing, email disabilityrecruitment@pfizer.com.

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