Jobs in the United States

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Added 3 mins ago
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Senior Software Engineer
Akamai Technologies, Inc.
Hartford, CT
- $121,400 to $218,600 USD / year
…traffic environment. You will be involved in creating both platform and product related services. You will work closely with Cloud Engineers, Product Engineers, Data science and DevOps to…
Added 1 hour ago
Senior Data Engineer
Capgemini
San Francisco, CA
We are seeking a highly skilled Lead Data Engineer to design develop and optimize scalable data ingestion and processing solutions using Databricks native capabilities The ideal candidate…
Added 1 hour ago
EG
Network Engineer
Eliassen Group
San Mateo, CA
- $80 to $90 USD / hour
Our client seeks a seasoned Network Engineer to design, implement, and operate enterprise and cloud networking across Azure and AWS. The role shall focus on secure connectivity, routing and…
Added 1 hour ago
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Staff, Software Engineer - FullStack Java Engineer
Walmart
SUNNYVALE, CA
- $143,000 to $286,000 USD / year
The Staff Software Engineer will lead the design, development, and deployment of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks. This role requires…
Added 2 hours ago
G
Software Development Engineer in Test (SDET) Remote
Genesis10
WOODBURY, NY
- $55 to $70 USD / hour
Genesis10 is currently seeking a Software Development Engineer in Test (SDET) for a remote contract to hire opportunity with a Major Financial Institution. In this role, you will lead test…
Added 2 hours ago
Senior Director, Platform Engineering
Altana Technologies, Inc.
BROOKLYN, NY
The Opportunity at AltanaAs the Senior Director of Platform Engineering, you will own the foundation that the entire Altana engineering organization builds on: the cloud infrastructure that…
Added 3 hours ago
Delivery Consultant - Migrations, Cloud Platform and Migrations, AWS Professional Services
Amazon
Atlanta, GA
AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
Added 4 hours ago
SO
Data Engineer - ITS3 or ITS4
State of Minnesota
St. Paul, MN
- $33.96 to $62.21 USD / hour
Are you passionate about building and optimizing data systems that drive meaningful insights? As a Data Engineer with Minnesota IT Services (MNIT) partnering with Direct Care and Treatment…
Added 4 hours ago
Lead DevSecOps Engineer
Leidos
Eagan, MN
Leidos is seeking a Lead DevSecOps Engineer to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Automation Platform (L-CAP).…
Added 8 hours ago
Global Head of Infrastructure & Cloud Operations
Janus Henderson Investors
Denver, CO
Own the AI & data platform run-state. Engineer and operate the services behind our Medallion architecture (Snowflake, Azure, DBT) so analytics and AI use-cases scale across the firm.
Added 9 hours ago
Software Engineer Senior Manager - Cross Channel Banker Platform
Wells Fargo
COLUMBUS, OH
…including application modernization, cloud readiness, APIs, data, security, resiliency, and…
Added 9 hours ago
Senior Full Stack Developer, Agentic Engineering
FullBloom
Statewide, PA
This role is hired to build agent-first. The Senior Full-Stack Developer, Agentic Engineer is a founding member of a small, new engineering squad building the next generation of…
Added 10 hours ago
Databricks Engineer
CGI Technologies and Solutions, Inc.
Lafayette, LA
. Design, develop, and support enterprise scale data and analytics solutions using the Databricks Lakehouse Platform.
Added 11 hours ago
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Senior Software Engineer, Cloud Platform
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
As a Senior Software Engineer, Cloud Platform our team is pioneering the next generation of cloud proxy architecture through Nanoproxy - a lightweight, high-performance native proxy…
Added 11 hours ago
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Principal Firmware Engineer
Microsoft
WA · Redmond, WA · Redmond
- $142,800 to $304,200 USD / year
…Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and…
Added 12 hours ago
Lead DevSecOps Engineer
Leidos
Gaithersburg, MD
Leidos is seeking a Lead DevSecOps Engineer to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Automation Platform (L-CAP).…
Added 12 hours ago
Senior Cyber Platform Engineer
MetLife
Cary, NC
The Cyber Platform Engineer is responsible for designing, implementing, and supporting enterprise security solutions within MetLife’s environment. This hands-on role partners with…
Added 12 hours ago
Senior Machine Learning Engineer III ***Raleigh, NC***
RELX INC
Raleigh, NC
Are you looking to develop your Machine Learning Engineer career?
Added 12 hours ago
EG
Full Stack Developer
Eliassen Group
Durham, NC
- $50 to $60 USD / hour
We are seeking a talented Full Stack Developer to join a high-impact team building a next-generation Data Analytics Platform within the financial services industry. This role offers the…
Added 15 hours ago
PowerApps Engineer
Robert Half
Fort Lauderdale, FL
We are looking for an experienced PowerApps Engineer to support enterprise Power Platform initiatives for a client in Fort Lauderdale, Florida. This Long-term Contract position focuses on…
Added 15 hours ago
Senior Member of Technical Staff, Product Engineering
Pallet
NY · San Francisco, CA
We're hiring Product Engineers to bridge the gap between customers and our AI platform, customize solutions for enterprise clients, and collaborate with cross-functional teams to build our…
Added 15 hours ago
Senior Member of Technical Staff, Product Engineering
Pallet
San Francisco, CA · NY
We're hiring Product Engineers to bridge the gap between customers and our AI platform, customize solutions for enterprise clients, and collaborate with cross-functional teams to build our…
Added 16 hours ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 16 hours ago
Senior Engineer, IAM Platform Engineering
AmerisourceBergen
Conshohocken, PA
…identity telemetry, authentication logs, access patterns, and platform performance metrics to proactively identify security risks, optimize service delivery, and improve user experiences.…
Added 17 hours ago
TA
Senior Software Engineer (Platform Engineering)-Remote, USA
Tempus AI, Inc.
Remote, United States
- $130,000 to $150,000 USD / year
The Senior Software Engineer is a hands-on technical leader responsible for architecting and delivering the Java-based services at the core of Ambry's platform modernization. This role…

Mars Corporate

Data Asset Model Senior Engineer

United States

The pay range shown is applicable to all US locations listed within the job posting:USD 101,120.00 - USD 139,040.00

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Job details

Pay: The pay range shown is applicable to all US locations listed within the job posting:USD 101,120.00 - USD 139,040.00
Apply by: Nov 15, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Job Description:

With continued growth in the Corporate Finance Technology (FinTech) team, coupled with ongoing finance initiatives, acquisitions, and organizational change, we are seeking a FinTech Data Asset Model Senior Engineer to strengthen our capabilities in Azure Data Lake technologies within the FinTech Data Lake team. The candidate will engineer, operate, and optimize the finance data lake, ensuring the integrity, reliability, and governance of Mars Inc.'s financial data through effective control of platform, data, and process changes. The candidate is hands-on in ingesting, consolidating, transforming, and curating financial data across segments, regions, and business units, enabling periodic and ad hoc reporting, analytics, and business insights. The candidate will design, build, and deliver corporate data solutions, driving transparency of financial performance through integrated systems, data pipelines, data models, and reporting that inform business decisions across the enterprise. The candidate will architect solutions, develop data assets, write, test, deploy, and maintain production-grade PySpark, SQL, and Python solutions and data pipelines, troubleshoot complex issues, optimize performance, perform code reviews, establish engineering standards, and mentor engineers, vendor staff, and analysts. The role ensures trusted financial data and analytics are delivered on time and analyzes and interprets financial results to identify KPI variances and long-term performance trends. The candidate will play a critical role in ensuring timely financial reporting by building, operating, monitoring, and enhancing the data pipelines and data loads required for Period Close and Plan submissions. Strong ownership, business acumen, and problem-solving skills are essential to diagnose and resolve technical, financial, functional, and process-related issues.

Key Responsibilities:

Operate and enhance the finance data lake platform as an integral part of management reporting
Diagnose and resolve data platform, pipeline, and consumer issues across analytics and reporting tools
Build, monitor and optimize the data pipelines and processes that support period close and plan submissions
Perform code reviews and manage Git-based code integration, branching, and merge activities with other team members.
Design, maintain and evolve data models, schemas and hierarchies in line with changing business needs
Align and reconcile the data lake and associated systems such as OneStream, CFIN and PAPM, ensuring consistent data definitions and outputs
Collaborate with platform and technical support teams (e.g., data engineering, cloud infrastructure, source system owners) to resolve issues and deliver enhancements
Execute data restatements, working alongside other teams to maintain financial data integrity
Implement and govern access controls, permissions, and data governance
Develop and maintain technical documentation, data dictionaries and user training materials
Execute month-end financial close activities, including data loads, validations and reconciliations
Lead technical design and hands-on delivery of FinTech-approved cross-platform and cross-segment solutions
Implement and drive data quality improvements and the (re-)enforcement of data quality roles and responsibilities

Context and Scope:

The ideal candidate is a hands-on technical leader with 7-10+ years of data engineering experience, including 5+ years of hands-on Azure Databricks, Spark/PySpark, and Delta Lake experience. The successful candidate should have strong experience building and supporting data products using Spark/PySpark, Python, advanced SQL, Databricks Workflows, Unity Catalog, and modern lakehouse architectures. The role requires a proven track record of strong problem-solving skills, independent technical decision-making, and a solid understanding of finance data and reporting processes. Success in this role requires direct involvement in solution design, development, optimization, mentoring, troubleshooting, and delivery, combined with strong collaboration, communication, and a focus on data quality. Experience with ERP systems, cloud data platforms, and data engineering best practices is essential, along with the ability to quickly learn and apply new technologies. The successful candidate must be able to communicate across multiple levels in a broad variety of circumstances to be effective. Interactions include:

Internal systems like MDG, SFO, One Consolidation, Data Lake and CFIN/PAPM teams
Data engineering, cloud platform and source system owners
External partners and vendors
Process and workstream leads on project initiatives

Skillset and Technologies experience:

7-10 years overall data engineering / analytics engineering experience
5+ years of hands-on Azure Databricks, Spark/PySpark, and Delta Lake experience
5+ years of advanced SQL development
5+ years of Python development for data engineering
3+ years working with modern lakehouse/data governance capabilities (Unity Catalog, data governance, security, metadata management)

Detailed Azure skills:

Azure Data Lake Storage Gen2 (ADLS): hierarchical namespace, ACLs, lifecycle management, storage tiering
Azure Databricks: Advanced Notebook and PySpark development, workspace administration, cluster policies, job and workflow orchestration, Databricks SQL, cost and performance tuning
Delta Lake: ACID transactions, time travel, schema evolution and enforcement, Z-ordering
Unity Catalog: Enterprise metastore design, catalogs/schemas/volumes, row- and column-level security, data lineage, external locations and storage credentials
Azure Blob Storage: containers, access tiers, SAS and managed identity access, private endpoints
Azure Data Factory (ADF) and/or Synapse Pipelines: pipeline design, parameterization, integration runtimes (including self-hosted), triggers, metadata-driven ingestion frameworks
Azure SQL Database / Managed Instance / Synapse dedicated SQL pools: serving layer design, indexing, partitioning

Data Engineering and Architecture

Medallion architecture (bronze/silver/gold) and lakehouse design patterns
Dimensional modeling (star/snowflake), data vault, and finance-specific modeling (GL, hierarchies, consolidation, FX)
PySpark and Spark SQL: advanced development, performance tuning, partitioning strategy, broadcast joins, skew handling, caching, and workload optimization
Advanced SQL: CTEs, window functions, recursive queries, query plan analysis, performance optimization
Advanced Python for data engineering
Delta Live Tables / Lakeflow declarative pipelines and Databricks Workflows
Data migration and modernization from legacy platforms or within Azure (e.g., Essbase, OneStream, on-prem warehouses, AOH to DNA)
Auto Loader and incremental ingestion patterns for large-scale data processing
AI-assisted engineering (Databricks Assistant, Mosaic AI)

Governance, Security and Quality

Data governance and cataloging (Unity Catalog, Microsoft Purview)
Role-based and attribute-based access control, Microsoft Entra ID (Azure AD) groups, SCIM provisioning
Managed identities, service principals, Azure Key Vault, secrets management
Data quality frameworks (e.g., Great Expectations, Delta expectations, custom reconciliation rules)
Data lineage, audit logging, retention and compliance (SOX, financial controls)
Master data and reference data management (MDG integration)

DevOps, Automation and Delivery

Azure DevOps (ADO): repos, boards, pipelines (YAML), release management, branching strategies
CI/CD for Databricks and ADF (Databricks Asset Bundles, ARM/Bicep templates)
Infrastructure as Code: Terraform, Bicep or ARM
Git-based workflows, code review standards, automated testing for data pipelines
Monitoring and observability: Azure Monitor, Log Analytics, alerting, pipeline SLAs
FinOps and cost management for Databricks and Azure resources
Microsoft Fabric / OneLake familiarity (a plus)
REST APIs and integration with enterprise finance systems (consolidation, planning, MDG): Nice to have

Delivery and Leadership

Agile/Scrum/SAFe delivery, backlog management and sprint planning in ADO
Technical design authority: architecture reviews, standards, reusable frameworks
Mentoring and code review for data engineers and analysts
Incident, problem and change management (ITIL-aligned) for close-critical workloads
Stakeholder communication from engineers to senior finance leadership

What You Can Expect From Mars

Work with talented associates in a collaborative and purpose-driven environment guided by the Five Principles of Mars.
Make a visible impact on a world-class manufacturing operation.
Access industry-leading learning and development opportunities through Mars University.
Build your career within one of the world's most recognized food and pet care companies.
Competitive compensation, annual incentive opportunity, and comprehensive benefits package.

The base pay range for this position at commencement of employment is between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to job-related knowledge, skills, and experience. The total compensation package for this position will include variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits. Details of participation in these benefit plans will be provided if an applicant receives an offer of employment.

The pay range shown is applicable to all US locations listed within the job posting:USD 101,120.00 - USD 139,040.00

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More about this job

Skills

Reporting
Data models
PySpark
SQL
Python
Troubleshoot
Financial reporting
Problem solving
Git
Technical support
Data engineering
Documentation
Account reconciliation
Apache Spark
Databricks
Unity
Decision making
Coaching
Troubleshooting
Collaboration
Communication skills
ERP
Microsoft Azure
ACLS
Workflow
SAS
Microsoft Azure Data Factory
Oracle Essbase
Process data
Cataloging
Regulatory compliance
Data management
DevOps
CI/CD
Infrastructure as code
IBM Terraform
Test automation
Google Analytics
Cost management
API development

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