Software Engineer, Data Governance Job at Robinhood (Bellevue)

Data Governance Engineer

The role focuses on deploying and managing enterprise-scale Data Governance prac...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

7+ years of Data Governance and Data Engineering experience, with significant exposure to enabling Data availability, data discovery, quality & reliability, with appropriate security & access controls in enterprise-scale ecosystem
First level university degree
Experience working with Data governance & metadata management tools (Collibra, Databricks Unity Catalog, Atlan, etc.)
Subject matter expertise of consent management concepts and tools
Demonstrated knowledge of research methodology and the ability to manage complex data requests
Excellent analytical thinking, technical analysis, and data manipulation skills
Proven track record of development of SQL SSIS packages with ETL flow
Experience with AI application deployment governance a plus
Technologies such as MS SQL Server, Databricks, Hadoop, SAP S4/HANA
Experience with SQL databases and building SSIS packages

Job Responsibility

Drive the design and development of Data Dictionary, Lineage, Data Quality, Security & Access Control for Business-relevant data subjects & reports across business domains
Engage with the business users community to enable ease of Data Discovery and build trust in the data through Data Quality & Reliability monitoring with key metrics & SLAs defined
Supports the development and sustaining of Data subjects in the Database layer to enable BI dashboards and AI solutions
Drives the engagement and alignment with the HPE IT/CDO team on Governance initiatives, including partnering with functional teams across the business
Test, validate and assure the quality of complex AI-powered product features
Partner with a highly motivated and talented set of colleagues
Be a motivated, self-starter who can operate with minimal handholding
Collaborate across teams and time zones, demonstrating flexibility and accountability.

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Specific programs to help achieve career goals
Comprehensive inclusion and flexibility to manage work and personal needs.

Fulltime

Senior Software Engineer - Data Protection

LufCo is seeking a Senior Software Engineer with a focus on Data Protection. Thi...

Location

United States , Annapolis Junction

Salary:

170000.00 - 245000.00 USD / Year

LufCo

Expiration Date

Until further notice

Requirements

Bachelor of Science degree in Software Engineering, Computer Science, Information Systems, or other related field
4 years of relevant work experience may be substituted for a B.S. degree
Fourteen (14) or more years experience as a Software Engineer in programs and contracts of similar scope
Languages: Java (for both front-end (Swing) and back-end (servlets), Javascript (vanilla/JQuery),Shell Scripting (BASH), PL/SQL (Oracle)
Frameworks: React and Spring/Spring Boot
OS: Linux and Windows
COTs: AEM (Adobe)
Servers: JBoss 7.x and Tomcat
Active TS/SCI with Polygraph clearance

Job Responsibility

Drive next generation Data Protection forward utilizing commercial and government best practices for ensuring secure encryption solutions
Planning, implementation, and evolution of Data Protection sets for evaluation and analysis as part of existing system modernization efforts
Ability to see impacts of system changes at scale, minimizing technical debt and critical thinking related to strategic moves regarding Identity, Credentialing, and Access Management Solutions
Provide fundamental knowledge on applying technologies like containerization to legacy physical workloads, the ability to identify automation improvements, and the ability to communicate pros/cons as part of the technical decision making process
Demonstrate a high level of familiarity with software patterns and modern design methodology
Software development on Linux based platforms
Software planning to include development planning, build planning, and sprint planning
Develop software to meet cybersecurity related software requirements and constraints
Advocate for automation in all aspects of the system (build, deployment, test, updating, and monitoring)
Perform requirements analysis, refinement, testing, troubleshooting, deployment, and push secure access solutions forward to support the customer

What we offer

Competitive salary
generous PTO
health/dental/vision insurance
401K matching
tuition reimbursement
Paid Time Off
401K Contribution and Employer Match Contributions
Medical, Dental, and Vision Coverage
Impactful Work
Cutting-Edge Technology

Fulltime

Senior Software Engineer, Data Platform

We are looking for a foundational member of the Data Team to enable Skydio to ma...

Location

United States , San Mateo

Salary:

180000.00 - 240000.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

5+ years of professional experience
2+ years in software engineering
2+ years in data engineering with a bias towards getting your hands dirty
Deep experience with Databricks building pipelines, managing datasets, and developing dashboards or analytical applications
Proven track record of operating scalable data platforms, defining company-wide patterns that ensure reliability, performance, and cost effectiveness
Proficiency in SQL and at least one modern programming language (we use Python)
Comfort working across the full data stack — from ingestion and transformation to orchestration and visualization
Strong communication skills, with the ability to collaborate effectively across all levels and functions
Demonstrated ability to lead technical direction, mentor teammates, and promote engineering excellence and best practices across the organization
Familiarity with AI-assisted data workflows, including tools that accelerate data transformations or enable natural-language interfaces for analytics

Job Responsibility

Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones
Build and evolve our Databricks and Palantir Foundry environments to empower every Skydian to query data, define jobs, and build dashboards
Develop data systems that make our products truly data-driven — from predictive analytics that anticipate hardware failures, to 3D connectivity mapping, to in-depth flight telemetry analysis
Create and integrate AI-powered tools for data analysis, transformation, and pipeline generation
Champion a data-driven culture by defining and enforcing best practices for data quality, lineage, and governance
Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company
Lead and mentor data engineers, analysts, and stakeholders across Skydio
Ensure platform reliability by implementing robust monitoring, observability, and contributing to the on-call rotation for critical data systems

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Paid vacation time
Sick leave
Holiday pay
401K savings plan

Fulltime

Principal Data Engineer

PointClickCare is searching for a Principal Data Engineer who will contribute to...

Location

United States

Salary:

183200.00 - 203500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Principal Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems
Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
Deep expertise in streaming and real-time data technologies, including frameworks such as Apache Kafka, Flink, and Spark Streaming
Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
Experience with Lakehouse architectures and related technologies, including Databricks, Azure ADLS Gen2, and Apache Hudi
Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and across the organization

Job Responsibility

Lead and guide the design and implementation of scalable streaming data pipelines
Engineer and optimize real-time data solutions using frameworks like Apache Kafka, Flink, Spark Streaming
Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
Drive adoption of best practices in data governance, observability, and performance tuning for streaming workloads
Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment
Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response
Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work

What we offer

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

Fulltime

Data Governance Program Manager

Digital Transformation PMO - Data Governance Program Manager. This role is accou...

Location

Singapore , Singapore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in IT, Computer Science, Software Engineering, Data, Business Analytics or equivalent
Minimum 10 years of experience in data or corporate governance setup and operationalization
Experience in SAP MDG, S4 HANA roll out, Data Harmonization and Data Cleansing
Experience in Material, Vendor, BOM master Data
Certification in industry standard data architecture discipline or similar (e.g. DCAM, DAMA)
Experience in operating under Data Office organization
Expert in consulting and helping business to develop data quality business rules, data catalogue, business glossary
Ability to develop, implement & optimize complex data governance solution and issues
Experience in Data, Privacy, Protection implementations & operationalization
Experience in Big Data and associated platform / technology knowledge

Job Responsibility

Establish, develop and optimize Data Governance Framework, Policy, Process & associated business program / solutions implementations for Global Operation team
Define data governance, data management frameworks and solutions together with Chief Data Officer team, IT and Global Operation functional groups
Support business units in digital transformation journey with data governance
Enable Data Governance framework including managing the objectives, approach, processes, policies and procedures around data governance
Build robust and scalable data governance ecosystem to support business needs
Define data governance operational processes (e.g., data quality measurement, metadata management) in accordance with policies and standards
Provide expert consultation to business units to establish and maintain data policies and standards that enable use-cases
Provide expert consultation to assist business units in identify and setup of critical data elements including the setup of data lineage, data catalogue and data quality
Work collaboratively & consultatively with chief data officer, business units, IT to deliver enterprise objectives around data governance
Identify, design, and implement internal process & framework improvements: automating manual operational processes and control for data governance implementation

What we offer

Health & Wellbeing comprehensive suite of benefits
Personal & Professional Development programs
Unconditional Inclusion in an inclusive environment

Fulltime

Senior Data Engineer

Kiddom is redefining how technology powers learning. We combine world-class curr...

Location

United States , San Francisco

Salary:

150000.00 - 220000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

3+ years of experience as a data engineer
8+ years of software engineering experience (including data engineering)
Proven experience as a Data Engineer or in a similar role with strong data modeling, architecture, and design skills
Strong understanding of data engineering principles including infrastructure deployment, governance and security
Experience with MySQL, Snowflake, Cassandra and familiarity with Graph databases. (Neptune or Neo4J)
Proficiency in SQL, Python, (Golang)
Proficient with AWS offerings such as AWS Glue, EKS, ECS and Lambda
Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Strong understanding of PII compliance and best practices in data handling and storage
Strong problem-solving skills, with a knack for optimizing performance and ensuring data integrity and accuracy

Job Responsibility

Design, implement, and maintain the organization’s data infrastructure, ensuring it meets business requirements and technical standards
Deploy data pipelines to AWS infrastructure such as EKS, ECS, Lambdas and AWS Glue
Develop and deploy data pipelines to clean and transform data to support other engineering teams, analytics and AI applications
Extract and deploy reusable features to Feature stores such as Feast or equivalent
Evaluate and select appropriate database technologies, tools, and platforms, both on-premises and in the cloud
Monitor data systems and troubleshoot issues related to data quality, performance, and integrity
Work closely with other departments, including Product, Engineering, and Analytics, to understand and cater to their data needs
Define and document data workflows, pipelines, and transformation processes for clear understanding and knowledge sharing

What we offer

Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

Data Engineer III

As a Data Engineer, you will play a key role in designing, developing, and maint...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

3+ years as a Data Engineer, data-adjacent Software Engineer, or a did-everything small data team member with a focus on building and maintaining data pipelines
Strong Python skills, especially in the context of data orchestration
Strong understanding of database management and design, including experience with Snowflake or an equivalent platform
Proficiency in SQL
Familiarity with data integration patterns, ETL/ELT processes, and data warehousing concepts
Experience with Argo, Prefect, Airflow, or similar data orchestration tools
Excellent problem-solving and analytical skills with a strong attention to detail
Ability to bring a customer-oriented and empathetic approach to understanding how data is used to drive the business
Strong communication skills

Job Responsibility

Design, develop, and maintain scalable and efficient data pipelines in an AWS environment, centered on our Snowflake instance and using Fivetran, Prefect, Argo, and dbt
Collaborate with business analysts, analytics engineers, and software engineers to understand data requirements and deliver reliable solutions
Design, build and maintain tooling that enables users and services to interact with our data platform, including CI/CD pipelines for our data lakehouse, unit/integration/validation testing frameworks for our data pipelines, and command-line tools for ad-hoc data evaluation
Identify and implement best practices for data ingestion, transformation, and storage to ensure data integrity and accuracy
Optimize and tune data pipelines for improved performance, scalability, and reliability
Monitor data pipelines and proactively address any issues or bottlenecks to ensure uninterrupted data flow
Develop and maintain documentation for data pipelines, ensuring knowledge sharing and smooth onboarding of new team members
Implement data governance and security measures to ensure compliance with industry standards and regulations
Keep up to date with emerging technologies and trends in data engineering and recommend their adoption as appropriate

What we offer

Competitive compensation based on market standards
Flexible Leave Policy
Office is in the heart of the city in case you need to step in for any purpose
Medical Insurance (1+5 Family Members)
We provide comprehensive coverage including accident policy and life Insurance
Annual performance cycle
Quarterly team engagement activities and rewards & recognitions
L&D programs to foster professional growth
A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency

Fulltime

Data Engineer

We are seeking our first Data Engineer, someone who can refine our data infrastr...

Location

United States , New York City; San Francisco

Salary:

190000.00 - 250000.00 USD / Year

Hebbia

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
5+ years software development experience at a venture-backed startup or top technology firm, with a focus on data engineering
Significant hands-on experience in data engineering (ETL development, data warehousing, data lake management, etc.)
Adept at identifying and owning data projects end to end, with the ability to work independently and exercise sound judgment
Proficient in Python and SQL
comfortable working with cloud-based data stack tools
Familiar with big data processing frameworks (e.g., Spark, Hadoop) and data integration technologies (e.g., Airflow, DBT, or similar)
Experience implementing data governance, security, and compliance measures
Strong collaboration and communication skills, with the ability to translate business requirements into technical solutions
You are comfortable working in-person 5 days a week

Job Responsibility

Architect, build, and maintain ETL pipelines and workflows that ensure high data quality and reliability
Design and manage a central data lake to consolidate data from various sources, enabling advanced analytics and reporting
Collaborate with cross-functional stakeholders (product, engineering, and business) to identify data gaps and develop effective solutions
Implement best practices in data security and governance to ensure compliance and trustworthiness
Evaluate and integrate new technologies, tools, and approaches to optimize data processes and architectures
Continuously monitor, troubleshoot, and improve data pipelines and infrastructure for performance, scalability, and cost-efficiency

What we offer

PTO: Unlimited
Insurance: Medical + Dental + Vision + 401K + Wellness Benefits
Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
Fertility benefits: $15k lifetime benefit
New hire equity grant: competitive equity package with unmatched upside potential

Fulltime

Software Engineer, Data Governance

Robinhood

Location:
United States , Bellevue

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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