The Senior Data Engineer designs, builds, and supports the back-end systems that move and process ServiceMac’s operational data. This hands-on role develops SQL database solutions, applications, system integrations, and automated data pipelines using SQL Server, C#/.NET, Python, and Azure.
Compensation
Pay Range: $121,980-$130,525 Annually
Responsibilities
Design, develop, and maintain back-end applications, automated jobs, and data integrations using SQL Server, C#/.NET, and Python.
Develop and optimize T-SQL stored procedures, database schemas, and data processing logic.
Build integrations that exchange data through application programming interfaces, databases, and files.
Develop extract, transform, and load pipelines with data validation, logging, error handling, retry logic, and recovery procedures.
Design processing workflows that prevent duplicate loads and support safe restarts after failures.
Requirements
Bachelor’s degree in Computer Science or a related field
Build models and advanced control, optimization, estimation, and detection technologies for GE Vernova’s renewable energy, gas power, grid solutions, and power conversion businesses.
Compensation
For candidates applying to a U.S. based position, the pay range for this position is between $89,300.00 and $148,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas.
Responsibilities
Develop and apply advanced control, optimization, estimation, and detection solutions
Test solutions using simulations and trials
Share work through patent applications, technical reports, and publications
The AI & Data Analytics Intern will support the Power Solutions Group Marketing organization on a high-priority initiative to improve business visibility, data quality, and decision-making across product lines. Using SQL, Power BI, and applied AI, the intern will translate legacy enterprise data into actionable insights tied to business outcomes and revenue-related metrics.
Compensation
Competitive compensation and medical benefits
Responsibilities
Build a Power BI dashboard that enables leaders to monitor key business indicators and identify performance trends, risks, and opportunities.
Collect, consolidate, clean, and normalize legacy data from multiple internal sources into a structured, maintainable data model.
Analyze data quality, governance, process, and system gaps that affect the accuracy, consistency, and usability of business-performance metrics.
Define metrics, validation rules, and exception flags that improve confidence in dashboard insights.
Partner with cross-functional stakeholders to validate requirements and outputs, document assumptions and limitations, and recommend sustainable governance and handoff processes.
Support Predictive Analytics or Telematics team as a Business Data & Analytics Intern, applying data and analytics to real business problems within the insurance industry.
Compensation
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process.
Responsibilities
Analyze data to identify trends, patterns, relationships, and insights that support business decisions.
Assist with the development, testing, validation, and enhancement of analytical models and solutions.
Develop, evaluate, and improve structured and unstructured data sets to support analytics projects.
Use analytical and programming tools to explore data, conduct analysis, and communicate findings.
Collaborate with analytics, technology, and business partners to understand business needs and develop analytical approaches.
Support teams by designing, automating, and executing test procedures for electronic products and systems, analyzing data, and driving continuous improvement.
Responsibilities
Design test procedures and automation scripts
Analyze test data and prepare technical reports
Coordinate with engineering teams to resolve testing issues
Develop corrective actions for test yield problems
Maintain process documentation
Requirements
Bachelor’s degree in CS, CE, EE/Electronics, or related
Nice to have: System architecture understanding
Nice to have: Intermediate Bash and Python programming
Nice to have: Leak detection/prevention techniques
Lead development and maintenance of global HR applications, integrating data solutions and advanced analytics.
Compensation
The pay range for this position at commencement of employment is expected to be between $90,000 -$125,000 per year* (see below footnote for additional compensation and benefits information).
Responsibilities
Manage and support HR business applications, including problem resolution and issue ownership
Support data analytics and data science initiatives with optimized data structures and AI/ML tools
Manage vendor products and their integrations with internal/external applications
Gather requirements and translate functional needs into technical specifications
Perform QA and impact analysis when rolling out enhancements to HR systems
Requirements
Bachelor’s degree in computer science or engineering or equivalent
The Business Analyst will work directly for and in close partnership with the CIO of Equities, focused on strategic content and act as a trusted analytical and execution partner; emphasizing quantitative risk analysis, performance attribution, and data-driven decision support across the diverse, multi-strategy equity platform.
Compensation
The pay range for this position at commencement of employment is expected to be between $175,000 and $200,000 per year* (see below footnote for additional compensation and benefits information). *base pay offered may vary depending on multiple individualized factors, including market location, corporate and functional title and duties, job-related knowledge and advanced degrees, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered.
Responsibilities
Conduct cross-desk risk, factor-exposure, and attribution analysis spanning regional, cap-size, and specialized equity strategies
Build risk decomposition, scenario, and factor-attribution frameworks using FactSet
Investigate specific questions from the CIO drawing on data from various analytical tools
Apply the firm's proprietary AI tools to accelerate data synthesis and pattern identification across the platform
Prepare high-quality strategic presentations for the CIO's use with the Executive Committee, Boards, and key clients
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