Lead Data Product Engineer Job at Robert Half (Atlanta)

Big Data / Scala / Python Engineering Lead

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least two years (Over all 10+ hands on Data Engineering experience) of experience building and leading highly complex, technical data engineering teams
Lead data engineering team, from sourcing to closing
Drive strategic vision for the team and product
Experience managing an data focused product, ML platform
Hands on experience relevant experience in design, develop, and optimize scalable distributed data processing pipelines using Apache Spark and Scala
Experience managing, hiring and coaching software engineering teams
Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs to ensure high product quality
7 to 10+ years of hands-on experience in big data development, focusing on Apache Spark, Scala, and distributed systems
Proficiency in Functional Programming: High proficiency in Scala-based functional programming for developing robust and efficient data processing pipelines
Proficiency in Big Data Technologies: Strong experience with Apache Spark, Hadoop ecosystem tools such as Hive, HDFS, and YARN

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary

Fulltime

Lead Data Engineer

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader i...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
7-9 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Certifications in Azure, Databricks, or Snowflake are a plus
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Fulltime

Lead Data Engineer

Lead Data Engineer to serve as both a technical leader and people coach for our ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
8-10 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Fulltime

Lead Data Engineer

Sparteo is an independent suite of AI-powered advertising technologies built on ...

Location

Salary:

Not provided

Sparteo

Expiration Date

Until further notice

Requirements

Proficiency in distributed data systems
Proficient in clustering, various table types, and data types
Strong understanding of materialized views concepts
Skilled in designing table sorting keys
Solid programming skills in Python, Java, or Scala
Expertise in database technologies (SQL, NoSQL)
You are comfortable using AI-assisted development tools (e.g., GitHub Copilot, Tabnine)
Proven experience leading data teams in fast-paced environments
Ability to mentor junior engineers and foster a culture of growth and collaboration
Data-driven decision-making abilities aligned with Sparteo's focus on results and improvement

Job Responsibility

Data Infrastructure Design and Optimization
Lead the design, implementation, and optimization of data architectures to support massive data pipelines
Ensure the scalability, security, and performance of the data infrastructure
Collaborate with software and data scientists to integrate AI-driven models into data workflows
Leadership and Team Management
Manage and mentor a team of 2 data engineers, fostering a culture of continuous improvement
Oversee project execution and delegate responsibilities within the team
Guide technical decisions and promote best practices in data engineering
Collaboration and Cross-Functional Engagement
Work closely with product managers, developers, and analytics teams to define data needs and ensure alignment with business objectives

What we offer

A convivial and flexible working environment, with our telecommuting culture integrated into the company's organization
A friendly and small-sized team that you can find in our offices near Lille or in Paris
Social gatherings and company events organized throughout the year
Sparteo is experiencing significant growth both in terms of business and workforce, especially internationally
Additional benefits include an advantageous compensation system with non-taxable and non-mandatory overtime hours, as well as a Swile restaurant ticket card

Fulltime

Lead Product Development Engineer

An individual contributor that leads product development engineering teams on as...

Location

United States , North Olmsted, Ohio

Salary:

105000.00 - 140000.00 USD / Year

Therma-Tru

Expiration Date

Until further notice

Requirements

Bachelor’s degree in engineering is required (BSME)
A minimum of 8 years of experience to include significant manufacturing exposure as well as product development experience is required
Fluent in the use of 3-D CAD (SolidWorks preferred) and PC’s
Ability and willingness to travel up to approximately 15% of the time, both domestically and internationally
Ability to effectively work with suppliers from different countries / cultures
Written and verbal communication skills for dealing with multiple levels of staff, customers and suppliers
Candidates must be familiar in several of the following areas: Advanced Failure Analysis and scientific problem solving
Mechanical System Modeling Techniques
FEA, CFD, FMEA, DOE, QFD, and DFMA
Use of engineering principles. i.e. fluid, mechanical and thermal

Job Responsibility

An individual contributor that leads product development engineering teams on assigned projects from concept to production
Provide engineering support and technical assistance to all engineering customers, both internal and external
Leads teams of engineers to develop products
Plans and steers the technical development of products
Understands the Product Development risks and mitigation plans
Drive team to develop capable, cost-effective manufacturing and assembly processes concurrent to product design activities to ensure robust designs are delivered
Interact with Marketing, Sales, Quality Assurance, Manufacturing, Designers, Purchasing, and suppliers to meet the specifications and needs of the customer in the development of new, reliable products for the market
Can make the connections between all user requirements, through product requirements, and into subsystem specifications
Maintains product platform mindset
Develop, lead, and actively participate in Design Reviews / DFM / DFA for new products

What we offer

robust health plans
a market-leading 401(k) program with a company contribution
product discounts
flexible time off benefits (including half-day summer Fridays per policy)
inclusive fertility / adoption benefits
more
numerous Employee Resource Groups to support inclusivity and our associates’ feeling of belonging at work
annual bonus plan based on company and individual performance, or a role-based sales incentive plan

Fulltime

Lead Data Engineer

We're looking for a Lead Data Engineer to build the data infrastructure that pow...

Location

United States

Salary:

185000.00 - 225000.00 USD / Year

Zora

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, with at least 2 years in a technical leadership role
Strong proficiency in Python and SQL for building production data pipelines, complex data transformations and evolving data platforms, shared infrastructure, and internal tooling with engineering best practices.
Strong experience in designing, building, and maintaining cloud-based data pipelines using orchestration tools such as Airflow, Dagster, Prefect, Temporal, or similar.
Hands-on experience with cloud data platforms (AWS, GCP, or Azure) and modern data stack tools
Deep understanding of data warehousing concepts and experience with platforms like Snowflake, BigQuery, Redshift, or similar
Strong software engineering fundamentals including testing, CI/CD, version control, and writing maintainable, documented code
Track record of optimizing data systems for performance, reliability, and cost efficiency at scale
Excellent communication skills and ability to collaborate with cross-functional teams including product, engineering, and design

Job Responsibility

Design and build scalable data pipelines to ingest, process, and transform blockchain data, trading events, user activity, and market signals at high volume and low latency
Architect and maintain data infrastructure that powers real-time trading analytics, P&L calculations, leaderboards, market cap tracking, and liquidity monitoring across the platform
Own ETL/ELT processes that transform raw onchain data from multiple blockchains into clean, reliable, and performant datasets used by product, engineering, analytics, and ML teams
Build and optimize data models and schemas that support both operational systems (serving live trading data) and analytical use cases (understanding market dynamics and user behavior)
Establish data quality frameworks including monitoring, alerting, testing, and validation to ensure pipeline reliability and data accuracy at scale
Collaborate with backend engineers to design event schemas, data contracts, and APIs that enable real-time data flow between systems
Partner with product and analytics teams to understand data needs and translate them into robust engineering solutions
Provide technical leadership by mentoring engineers, conducting code reviews, establishing best practices, and driving architectural decisions for the data platform
Optimize performance and costs of data infrastructure as we scale to handle exponentially growing trading volumes

What we offer

Remote-First Culture: Work from anywhere in the world!
Competitive Compensation: Including salary, pre-IPO stock options, token compensation, and additional financial incentives
Comprehensive Benefits: Robust healthcare options, including fully covered medical, dental, and vision for employees
Retirement Contributions: Up to 4% employer match on your 401(k) contributions
Health & Wellness: Free memberships to One Medical, Teladoc, and Health Advocate
Unlimited Time Off: Flexible vacation policies, company holidays, and recharge weeks to prioritize wellness
Home Office Reimbursement: To cover home office items, monthly home internet, and monthly cell phone (if applicable)
Ease of Life Reimbursement: To cover everything from an Uber home in the rain, childcare, or meal delivery
Career Development: Access to mentorship, training, and opportunities to grow your career
Inclusive Environment: A culture dedicated to diversity, equity, inclusion, and belonging

Fulltime

Lead Data Engineer

Location

Uzbekistan , Tashkent

Salary:

Not provided

Vention

Expiration Date

Until further notice

Requirements

4+ years in data engineering, including leading teams
Strong experience with Python and SQL
Solid knowledge of Apache Airflow, Kafka, Big Query, and AWS/Azure
Strong experience with ETL processes, data warehousing, and stream processing
Leadership skills with proven ability to mentor and grow engineering teams
Experience working in an Agile environment (Scrum, Kanban, etc.)
B2+ English, with experience communicating with English-speaking customers

Job Responsibility

Guide a team of data engineers in building and optimizing data pipelines
Oversee architecture for data ingestion, transformation, and storage with Big Query and SQL, ensuring high performance and reliability
Collaborate with product managers and clients to define data strategies and resolve complex technical challenges
Stay up-to-date with the latest cloud data technologies and industry best practices, bringing innovation to our data ecosystem

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
Expanded medical support for employees in Tashkent
19 working days of vacation per year, 21 after two years in the company
Corporate getaway & teambuilding activities
Support for the significant events in your life
Referral bonuses for bringing in new talent

Fulltime

Lead Product Manager, Data & A.I

We seek an innovative, customer-focused leader to lead the Data platform and AI ...

Location

United States , Palo Alto

Salary:

176000.00 - 289800.00 USD / Year

Velocity Global

Expiration Date

Until further notice

Requirements

12+ years of Product Management experience
Computer Science background or equivalent technical experience
Passion for and experience building data platforms and AI agents
Deep understanding of RAG, and unstructured data processing
Experience of leading initiatives across engineering and cross functional teams, to influence roadmap planning and execution
Strong written and verbal communication skills, structuring ambiguous concepts clearly and from first principles

Job Responsibility

Work with cross functional teams to develop vision and strategy for the Data platform, data quality and governance
Align with strategy for multiple teams and create and drive a portfolio of cross-functional initiatives
Clearly articulate the business problems pertaining to data, gather evidence from users and outside sources, clarify the potential solutions
Define the roadmap with deep understanding of the underlying data architecture, and drive prioritization of functional & non-functional requirements
Create user stories, and partner with data and product engineering teams to manage product backlog and execution through scrum teams
Serve as primary evangelist of data platform and capabilities with customers, internal executive stakeholders
Drive outcomes aligned with business teams and AI&D OKRs and report key metrics driving product effectiveness, utilization and satisfaction

What we offer

Flexible Time Off
Parental Leave
Health and Dental Insurance
Retirement Savings + Employee Incentive Plan
Offers Equity

Fulltime

Lead Data Product Engineer

Robert Half

Location:
United States , Atlanta

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 23, 2025

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Job Posted:March 23, 2025

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