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3 jobs found

Today

Senior Data Analytics Engineer

Microsoft United States

United States

Today

$106k - $223k/yr Full time Senior Analytics Artificial Intelligence

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Job Description

Build the pipelines, semantic layer, and serving infrastructure behind CSS intelligence and detection products at Microsoft. This is a platform-focused role with end-to-end ownership of governed, certified measures, reliability, and data quality, so AI decision systems and executive experiences can trust the numbers they rely on.

Location: United States (onsite)

Compensation: USD 106,400 - 222,600 per yearly

Experience: 2+ years

What you will do

Design and operate data pipelines that power CSS intelligence, covering both organizational batch processing and near real-time streams where detection latency matters.
Ingest case and agent telemetry, integrate with a unified data platform and Finance systems, and build production scoring pipelines that run data science models continuously (not limited to notebook workflows).
Own pipeline reliability through monitoring and alerting, including handling schema drift and late-arriving data so failures surface early to the engineers responsible.
Build and maintain the semantic layer between raw data and consuming experiences, including dimensional models, certified measures with documented definitions and clear ownership, consistent hierarchies, and security context that governs access.
Ensure the semantic layer supports more than reporting: the detection engine uses it for baselines and thresholds, and executive and natural-language experiences query it via a semantic API with a traceable query path.
Embed data quality and observability directly into pipelines with freshness stamps, reconciliation tests against sources of record, contract checks between producers and consumers, and end-to-end lineage for traceability.
Apply engineering discipline to analytics using source control, deployment pipelines, environment separation, and infrastructure as code. Manage cost and performance via partitioning, incremental refresh, and query optimization.
Partner with data scientists and applied AI engineers to productionize models, preparing data for AI consumption through grounding, retrieval, and feature-serving patterns agents depend on.
Design for handoff so schemas, APIs, deployment approaches, and documentation are understandable to teams that did not build the system.

What you bring

Education and experience: Master’s degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis; OR Bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 4+ years experience in the same areas.
Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or Power BI semantic models in a production environment.
Experience building data platforms that serve AI or machine learning workloads, including feature serving, retrieval and grounding data, or model scoring at scale.
Experience implementing data governance in practice, including certified metric definitions, tiered metric ownership, and a promotion process for executive reporting readiness.
Experience supporting executive-facing analytics where accuracy, freshness, and traceability are required.

Core technologies

SQL, Python, Spark, PySpark, Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, DAX, Power BI, CI/CD, Infrastructure as code, API, Natural language, Azure

Additional or preferred qualifications

Master’s degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis; OR Bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 8+ years experience in the same areas.

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1mo ago

Data Analytics Engineer

Collins Aerospace Santa Isabel, Puerto Rico 📍 Santa Isabel Remote

Santa Isabel, Puerto Rico

1mo ago Closed

Full time Azure Analytics Azure Data Lake Big Data

This position is no longer accepting applications (closed Sep 14, 2026).

Job Description

Collins Aerospace, within RTX Enterprise Services/Data & Insights, is looking for a Data Analytics Engineer to build reliable, scalable data pipelines and analytics solutions that improve business performance and support AI/ML initiatives. This remote role focuses on turning stakeholder needs into practical data products, with strong emphasis on data quality, governance, and compliance.

What you’ll build and improve

Reliable, scalable data foundations by designing, building, and maintaining data pipelines, data models, and curated datasets for analytics, reporting, decision-making, and AI/ML use cases.
Trusted data from complex sources through integration, transformation, standardization, and validation of data from enterprise applications, spreadsheets, databases, text files, APIs, and operational systems.
Analytics that drive understanding by developing and maintaining data visualizations, statistical analysis, reporting, and analytical solutions for enterprise and infrastructure data.
Governance and data management by establishing and improving data quality, validation, monitoring, governance, documentation, and reusability practices.
Support for AI/ML initiatives including data preparation, feature development, dataset creation, experimentation support, evaluation, and integration of AI/ML outputs into operational solutions.

How you’ll work day to day

Partner with customers and stakeholders to understand business and operational needs, identify improvement opportunities, and translate requirements into workable data and analytics solutions.
Independently lead projects using appropriate software development and agile practices, covering requirements and solution design through development, testing, implementation, and continuous improvement.
Create and maintain technical and business documentation, including requirements, data definitions, process flows, use cases, user stories, technical designs, and operational procedures.
Collaborate across IT and operations, providing technical guidance, peer review, and mentoring to others on the Data & Insights team.
Apply information security, information assurance, governance, privacy, and compliance requirements across all data, analytics, and AI/ML-related activities.
Reference written work instructions for guidance with daily job activities.

Required experience and skills

Education and experience: University Degree (or equivalent experience) with minimum 8 years prior relevant experience, or an Advanced Degree in a related field with minimum 5 years experience.
Hands-on experience: 5+ years in data engineering, data analytics, business intelligence, or a related technical discipline.
Proficiency with Python and SQL, including hands-on experience with PySpark or comparable distributed data-processing technologies.
Proven ability to design and develop production-quality data pipelines, data models, and ETL/ELT and data integration solutions.
Experience with data quality, data governance, data warehousing, data modeling, and modern cloud data architectures.
Ability to analyze complex datasets, develop meaningful metrics and visualizations, and translate insights into actionable recommendations.
Experience owning technical projects independently, working through ambiguous or complex problems with limited day-to-day direction.
Experience preparing, structuring, and curating data for machine learning, AI/ML, advanced analytics, or other data science applications.

Technologies you’ll use

Python, SQL, PySpark, ETL/ELT, Azure, Databricks, Snowflake, Delta Lake, Power BI
ServiceNow/ITSM data, Git/CI/CD

Benefits

Healthcare
Wellness
Retirement
Work/life benefits
Parental (including paternal) leave
Flexible work schedules
Achievement awards
Educational assistance
Child/adult backup care

Eligibility and location

Remote: Work primarily offsite from home.
Location requirement: The successful candidate must be currently living in Puerto Rico (Santa Isabel Municipio, PR remote).
Travel: May be expected to travel to the Santa Isabel site location as needed.
Citizenship requirement: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security clearance: None/Not Required.

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1mo ago

BI & Analytics Analyst/Data Engineer

Jewish Council for the Aging of Greater Washington Rockville, MD

Rockville, MD

1mo ago Closed

$110k - $132k/yr Full time Analyst Analytics Azure Analytics

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

Drive end-to-end BI and data engineering for agency analytics solutions in a hybrid role split between Power BI delivery and hands-on engineering.

Responsibilities

Partner with IT business teams and operational leaders to design analyses that support improvement in care, assess adherence to clinical best practice, and measure outcomes
Collaborate with key staff to develop, implement, and guide standards and best practices so agency data repositories produce consistent, reusable data
Enable business stakeholders to self-serve analytics by promoting best-practice knowledge and supporting adoption patterns that reduce IT-owned development
Own self-service reporting datasets, including DAX measures, data models, and row-level security
Translate business requirements into clear analytical deliverables, manage stakeholder expectations, and iterate based on feedback
Monitor report usage and data quality, proactively identifying and resolving issues
Document data definitions, metric logic, and report lineage to support a data-literate culture across the agency
Use technical tools to query, manipulate, and summarize data from multiple data sources
Assist with designing, developing, maintaining, and updating databases aligned to department and organizational needs
Design and build star schema data warehouse objects in SQL Server, including fact tables, dimension tables, and aggregate layers
Write and maintain T-SQL stored procedures, ETL pipelines, and staging-to-DWH data loads
Create and maintain source-to-target mapping documentation for new data domains
Integrate data from source systems
Contribute to data quality, pipeline reliability, and warehouse performance optimization
Support self-service analytics adoption by building clean, well-documented datasets
Document current data architecture, define logical and physical data, and establish the agency data blueprint
Manage and support the data warehouse solution including Wherescape RED and SQL Server (plus associated components listed in the technologies stack)
Define operational monitoring and alerting tools to ensure trusted, high-quality data delivery from source systems through to consumption
Establish best-practice standards and processes for data automation, orchestration, and transformation
Identify, design, implement, and manage a master data management solution for client and employee subjects; define data quality standards and operational DQ processes with stakeholders

Requirements

Bachelor’s degree required; Master’s degree highly preferred
5–7+ years of experience in a BI, analytics, or data engineering role
Strong proficiency in SQL Server and T-SQL, including stored procedures, window functions, and query optimization
Hands-on experience building and maintaining Power BI reports and semantic models (DAX, Power Query)
Hands-on experience with Wherescape OLAP; experience with alternative OLAP solutions: Azure Analysis Service, Azure Data Lake, Azure Synapse Analytics
Experience integrating or working with EHR data (reports, APIs, or data exports)
Familiarity with star schema / dimensional modeling concepts (Kimball methodology a plus)
Python experience for data wrangling, automation, or pipeline scripting
Experience with Microsoft Master Data Services (MDS), including defining entities and creation of business rules
Experience with Microsoft Data Quality Services (DQS) and SQL Server Integration Services (SSIS)
Comfortable working across the full analytics stack, from raw source data to end-user reporting
Strong communication skills, including explaining data concepts clearly to non-technical stakeholders
Advanced Microsoft Office skills (including Power BI), plus SQL; experience with EMR systems (hospice, homecare, and/or mental health) desired

Technologies

SQL Server, T-SQL
Power BI, DAX, Power Query
Wherescape OLAP, Wherescape RED
Azure Analysis Service, Azure Data Lake, Azure Synapse Analytics
Python
Microsoft Master Data Services (MDS)
Microsoft Data Quality Services (DQS)
SQL Server Integration Services (SSIS)
ETL
EHR data, EMR systems
Master data management

Job Details

Location: Rockville, MD (hybrid)
Salary: USD 110,000 - 132,000 per year
Pay Type: Salary

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