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Jobgether logo
Jobgether

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Engineering Lead

Location

United States

Posted

59 days ago

Salary

0

Seniority

Lead

Job Description

Data Engineering Lead

Jobgether

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager Data Engineering - REMOTE. In this role, you will play a crucial part in shaping our data strategy and ensuring the reliability of our data models and pipelines. Your deep technical expertise combined with strong leadership skills will allow you to mentor teams, implement the latest data technologies, and drive operational excellence. You will be at the forefront of enhancing our data architecture, working closely with various departments to align data practices with business needs. The ideal candidate will not only manage teams but will also engage in hands-on technical work, ensuring the ongoing development of scalable data solutions. - Manage and guide data teams to execute on enterprise data strategy. - Provide technical guidance and mentor team members on data technologies. - Design end-to-end data processing for enterprise data warehousing. - Build scalable data pipelines for data loading. - Automate data operations for efficiency. - Ensure high reliability and performance of data pipelines. - Collaborate with engineering teams to optimize data solutions. Qualifications - BS in Computer Science or equivalent; MS preferred. - 5-10 years of experience in people management, particularly in data and analytics. - Proven experience in redesigning data pipelines and enterprise data models. - Mastery of modern data modeling patterns. - Strong expertise in SQL, Python, and tools like Informatica and DBT. - Experience with Lakehouse/Warehouse technologies. - Commitment to automation and engineering best practices. - Experience leveraging GenAI/LLMs to solve complex problems. Benefits - Competitive compensation. - Flexibility to work from anywhere in the United States. - Paid time off including vacation, sick leave, and holidays. - Incentive bonus programs. - Comprehensive health benefits including medical, dental, and vision. - 401(k) retirement plan with company match. - Opportunities for professional development and education assistance. - Engaging and collaborative work environment. - Recognition programs for employee achievements. - Health and wellbeing resources.

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India
New York Life logo

Senior Associate - Data Governance & Stewardship Lead

New York Life

New York Life is headquartered in New York, New York, and offers a portfolio of products for life insurance, long-term care insurance, retirement, investment an

Data Engineer60 days ago
Full TimeRemoteTeam 12,000Since 1845

Location Designation: Fully Remote Job Title: New York Life Group Benefits Solutions (GBS) - Data Governance and Stewardship Leader Location: Remote or Hybrid/Philadelphia, PA or New York Office Reports To: GBS Business Data Strategy Lead Employment Type: Full-Time Business Overview: The GBS Data Governance and Stewardship Leader will establish and scale a sustainable data governance framework as part of the Center of Excellence (COE). This role is responsible for driving data definitions and quality, delivering best-practice training, and ensuring adherence to governance policies across the organization. As a key member of the COE Data & Analytics team, the leader will partner with IT and business teams to ensure that data can be trusted, remains secure, and is effectively leveraged to support strategic and operational decision-making. 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New York
$100K - $143K / year
Zocdoc logo

Staff Software Engineer, Data Platform

Zocdoc

Zocdoc is the beginning of a better healthcare experience for millions of patients every month.

Data Engineer60 days ago
Full TimeRemoteTeam 501-1,000Since 2007H1B Sponsor

Our Mission Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable. Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down. We’re 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on. Your Impact on our Mission: We’re hiring a Staff Software Engineer (Data Platform) to define and lead the evolution of Zocdoc’s data platform at the intersection of data engineering and product engineering. This role owns how data moves into, across, and out of our lakehouse and warehouse ecosystems. You’ll shape the contracts, access patterns, APIs, governance controls, and interoperability standards that enable teams to reliably produce and consume data at scale. Unlike a traditional data engineering role, this position is focused on platform experience and data product design — building the frameworks, contracts, and service interfaces that make data trustworthy, compliant, and easy to use across both technical and non-technical stakeholders. You will define how: - Product teams publish high-quality, validated data into the platform - Analytics and ML teams consume governed datasets with confidence - Reverse ETL and activation patterns safely operationalize data back into product systems - Access control, compliance, and governance are embedded into platform design by default This is a highly cross-functional leadership role requiring deep data engineering expertise, strong product thinking, and the ability to influence standards across the organization. You’ll enjoy this role if you are… - Passionate about designing data contracts and producer/consumer interfaces, not just pipelines. - Excited to build APIs, SDKs, and shared packages that product engineers adopt. - Motivated to define clear access patterns across warehouse, lakehouse, and downstream systems. - Energized by solving governance, schema evolution, and compliance challenges at scale. - Comfortable setting long-term architectural direction while still diving into implementation details. - Experienced in building a data product used broadly across both technical and non-technical stakeholders. - Excited about leveraging AI-assisted and agentic workflows to multiply engineering productivity. - Thoughtful about the guardrails, access controls, and governance required when enabling GenAI systems to interact with sensitive data. Your day to day is… - Defining and evolving data contract standards across the company, including schema enforcement, versioning, and validation patterns. - Designing interoperable ingestion and publishing frameworks that enable upstream producers (e.g., product engineering teams) to integrate seamlessly with the data platform. - Building and standardizing APIs, libraries, or SDKs that simplify event logging, schema validation, and contract compliance. - Establishing best practices for schema registry usage and distributed schema validation across streaming and batch systems (e.g., Kafka-based systems). - Designing clear patterns for: - When to use the data lake vs. the warehouse - How curated layers are exposed - How downstream consumers access data safely - Leading reverse ETL and activation architecture to support operational use cases. - Defining and enforcing access control, governance, and compliance standards (e.g., PHI/PII handling, DEID boundaries, RBAC). - Partnering with Product Engineering, Security, Compliance, Analytics Engineering, and Infrastructure to align on standards and long-term direction. - Mentoring engineers and influencing engineering culture around data quality, ownership, and contracts. - Driving adoption of AI-assisted development practices (e.g., cloud-based coding environments, internal AI tooling, or agentic workflows) to accelerate platform delivery. - Designing guardrails for AI access to data systems, including scoped permissions, auditing, and compliance-aware controls. - Partnering with product and AI teams to ensure our data contracts, schemas, and curated layers are AI-consumable and safe by default. - Evaluating how internal data platform assets can power AI use cases and intelligent automation across the company. You’ll be successful in this role if you have… - 8+ years of experience in data engineering, platform engineering, or backend platform development. - Demonstrated experience designing data contracts, schema governance, or producer/consumer standards at scale. - Strong expertise in Python and SQL, with hands-on experience building scalable data frameworks. - Experience with distributed data systems such as Spark (Databricks or EMR) and modern lakehouse architectures (Delta Lake / Iceberg). - Experience with data warehouses such as Snowflake and strong understanding of performance and access patterns. - Familiarity with schema registry systems and schema evolution in streaming systems (e.g., Kafka). - Experience building APIs, shared libraries, or platform services adopted by multiple teams. - Strong understanding of access control, RBAC, and compliance constraints in regulated environments. - Proven ability to lead cross-functional architectural initiatives across product, analytics, and infrastructure teams. - Clear communication skills and a track record of influencing standards across an organization. - Experience working with AI-assisted development tools or cloud-based coding environments (e.g., Claude Code, Codex, Cursor, internal code generation frameworks, or similar systems). - Strong understanding of governance considerations for GenAI systems, including access control, prompt safety, sensitive data handling, and auditability. - Perspective on how structured data models and contracts improve AI reliability and downstream automation. Bonus if you have… - Experience designing reverse ETL frameworks or operational activation pipelines. - Familiarity with metadata and governance platforms (e.g., Unity Catalog, Collibra, OpenMetadata). - Experience building internal developer platforms for event logging or data publishing. - Experience working in regulated environments involving PHI/PII. - Experience integrating streaming systems (Kafka/Kinesis) with warehouse and lakehouse ecosystems. Benefits - Flexible, hybrid work environment at our convenient Soho location - Unlimited Vacation - 100% paid employee health benefit options (including medical, dental, and vision) - Commuter Benefits - 401(k) with employer funded match - Corporate wellness program with Wellhub - Sabbatical leave (for employees with 5+ years of service) - Competitive paid parental leave and fertility/family planning reimbursement - Cell phone reimbursement - Catered lunch everyday along with beverages and snacks - Employee Resource Groups and ZocClubs to promote shared community and belonging - Great Place to Work Certified Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details. NYC Base Salary Range $180,000—$275,000 USD About us Zocdoc is the country’s leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc’s Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world’s leading investors, and we believe we’re still only scratching the surface of what we plan to accomplish. Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws. Job Applicant Privacy Notice

New York
$180K - $275K / year
Job Closed