Reporting and Analytics

Reporting and Analytics Developer Jobs

410 jobs found

5d ago

Data Engineer

Skanska USA Charlotte, NC

Charlotte, NC

5d ago

Full time Azure Data Factory Azure Functions Azure Synapse Analytics

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Job Description

Skanska USA offers a role where you can help strengthen enterprise data integration, analytics, and reporting across legacy, on-premises, and cloud-based platforms. This hybrid position in Charlotte, NC supports modern engineering practices, trusted data pipelines, and continuous improvement through collaboration with business stakeholders, analysts, architects, and engineering teams.

What you’ll do

As a Data Engineer, you will design, develop, modernize, and support enterprise solutions that enable reporting and analytics. You will build scalable data pipelines and trusted data products using ETL/ELT approaches and Medallion Architecture principles, while ensuring solutions work across different environments, from on-premises systems to cloud platforms.

Design, develop, modernize, and support enterprise data integration, analytics, and reporting across legacy, on-premises, and cloud platforms.
Partner with business stakeholders, analysts, architects, and engineering teams to create scalable data pipelines and trusted data products using ETL/ELT and Medallion Architecture principles.

Required skills and experience

3+ years developing SQL-based data integration, transformation, and reporting solutions.
3+ years designing, developing, and supporting ETL/ELT pipelines using tools such as SQL Server Integration Services (SSIS), Azure Data Factory, Azure Functions, Logic Apps, Azure Synapse Analytics, or similar platforms.
3+ years experience with data warehouse design, dimensional modeling, or modern analytical data platforms.
1+ year experience with Microsoft Fabric or Databricks, including exposure to Lakehouse concepts, Apache Spark, Delta tables, data pipelines, and orchestration.
1+ year using GitHub, Azure DevOps, or other source control systems.
6+ months working in Agile, Scrum, or Kanban delivery frameworks.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field; or equivalent professional experience.

Preferred

Fabric Data Engineer Associate (DP-700) certification is preferred.

Tools and technologies

You may work across SQL and Microsoft/Azure and lakehouse platforms, including SQL Server, SSIS, SSRS, Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse Analytics, Databricks, Apache Spark, Delta Lake, ETL/ELT, and Medallion Architecture, as well as Azure Functions, Logic Apps, GitHub, and Azure DevOps.

Benefits and support

Medical, dental, and vision insurance plans
Expert guidance and always-on tools
Compensation and financial well-being: competitive base salary, excellent bonus program, 401k, and an Employee ownership program
Support your whole health and peace of mind through inclusive and personalized total rewards
Developing you in your role with support for career growth

Background check required. The company is not considering applicants for this position who now or in the future require employment sponsorship by the company.

Primary location: US-NC-Charlotte. Work model: Hybrid. Business unit: Skanska USA Inc.

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5d ago

Enterprise Applications Developer

National Field Representatives, Inc. Claremont, NH 🇺🇸 Remote

Claremont, NH

5d ago

Full time Backend Developer .NET .NET Core

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Job Description

National Field Representatives, Inc. is hiring an Enterprise Applications Developer to build and support secure enterprise solutions across .NET, Azure, and SQL Server.

Responsibilities

Design, develop, and support enterprise applications using .NET, Azure, and SQL Server under the direction of the Manager.
Deliver secure cloud, AI, and automation solutions.
Collaborate with stakeholders to create scalable and reliable systems.
Support modernization, optimization, and continuous improvement initiatives while following security best practices.

Requirements

3+ years of experience designing, developing, deploying, and supporting enterprise software applications.
Hands-on expertise building with Microsoft .NET technologies including C#, ASP.NET Core, and REST APIs.
Experience with SQL Server, modern software development tools, and frameworks.
Experience developing, integrating, and supporting enterprise applications and Microsoft Azure cloud solutions.
Experience building AI-enabled applications using modern AI services and frameworks.
Proficiency with source control, CI/CD, and DevOps practices using GitHub Enterprise, GitHub Actions, and/or Azure DevOps.
Experience integrating business applications, third-party tools, and automated workflows.
Experience developing AI-powered applications, automation solutions, and intelligent tools that improve business processes and user productivity.
Knowledge of software architecture, object-oriented design, Agile methodologies, security best practices, and modern software engineering principles.
Proven ability to troubleshoot, support, and optimize mission-critical business applications and databases.

Technologies

.NET, Azure, SQL Server
C#, ASP.NET Core, REST APIs
GitHub Enterprise, GitHub Actions, Azure DevOps
Power Platform (Power Apps, Power Automate, Dataverse)
Microsoft Fabric, Power BI
Azure AI Services, Azure OpenAI, Copilot Studio
Semantic Kernel
Retrieval-Augmented Generation (RAG) architectures
Microservices, containerization
Infrastructure as Code (IaC)

Benefits

Health insurance
Dental insurance
Vision insurance
Company paid life insurance
Generous PTO package
401(k) employer matching contribution
Third-party products such as disability and additional life insurance
Great training program

Preferred Experience

Microsoft Power Platform (Power Apps, Power Automate, Dataverse)
Microsoft Fabric and Power BI
Azure AI Services, Azure OpenAI, Copilot Studio, Semantic Kernel, and Retrieval-Augmented Generation (RAG) architectures
Microservices, containerization, and Infrastructure as Code (IaC)
Legacy application modernization and cloud migration projects

Remote / Hybrid / Office & Location

Remote role with an option to work hybrid or in office from the NH office.
Remote locations available in: AL, DE, FL, GA, IA, KS, MS, NC, NH, SC, TX, VT.

Work Authorization

NFR does not sponsor work visas.

Location: Claremont, NH (remote) | Minimum Experience: 3 years

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5d ago

Data Engineer

University of Utah Salt Lake City, UT

Salt Lake City, UT

5d ago

$80k - $130k/yr Full time Analytics Business Intelligence Data

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Job Description

The University of Utah is seeking an experienced data architect and data engineer to design, build, test, implement, and maintain data transformation pipelines that support institutional reporting. This hybrid role is based in Salt Lake City, UT, with residency in Utah required and the ability to work from campus 3 days per week. The position offers a salary range of $80,000 to $130,000 per year (depending on level and qualifications) and a comprehensive benefits package.

What you will do

Investigate source data structures, relationships, content, and quality to support requirements discovery.
Design, build, implement, and maintain data transformation pipelines, processes, and reporting structures for use cases including data science, strategic reporting, master data sources, enterprise integrations, and point-in-time snapshots.
Automate and manage data quality audits and correction processes.
Write complex SQL queries to support analytics needs.
Develop and maintain data and process documentation, including data flow diagrams, data concepts, keys, definitions, and process steps.
Collaborate with teammates by sharing ideas and learning as the group evaluates new methods and tools in continuous improvement.
Perform other duties as assigned.

Required qualifications

Bachelor’s degree + 6 years of experience, or Master’s degree + 4 years of work experience in institutional research, business analytics, data science, or a related field.
Proficiency in querying, manipulating, and analyzing complex datasets.
Excellent interpersonal and communication skills, including the ability to present complex data to both technical and non-technical audiences.
Demonstrated experience with data visualization tools such as Tableau and Microsoft Power BI.
Experience with data querying languages such as SQL.
Proficiency in Python coding.
Experience working with APIs.
Demonstrated ability to manage multiple projects and collaborate across teams.
Equivalency: 1 year of higher education can be substituted for 1 year of directly related work experience (example: bachelor’s degree = 4 years of directly related work experience).

Tools and technologies you may use

SQL, python, Tableau, Microsoft Power BI, API (APIs)
Oracle SQL, PeopleSoft, Lucid Chart
AWS, Glue, Apache Airflow

Preferred qualifications

Advanced Oracle SQL skills to query and manipulate data, create and manage objects.
Experience moving complex data transformation projects forward under minimal supervision.
6 or more years of experience in one or more areas such as relational database or data warehouse development, data reporting and analysis, higher education administration involving student/faculty/HR/finance data and processes, business systems analysis, or experience in an institutional research (IR) setting.
Experience with PeopleSoft data, Tableau, Lucid Chart, and/or similar ERP systems, visualization, and diagramming tools.
Experience building data pipelines in AWS using tools such as Glue and Apache Airflow.
A Master’s degree in MIS or a related field.

Benefits and perks

Personal (401a) retirement account with an employer contribution of 14.2%.
Highly competitive health insurance.
Generous paid leave time.
Free public transportation pass (UTA).
50% tuition reduction for eligible employee and family members.

Additional information

This position is Benefited Staff.
May require a successful criminal background check and/or drug screen.
The University of Utah values candidates with experience working in settings with students and a strong commitment to improving access to higher education.
Visa sponsorship: the department is not currently able to support individuals seeking sponsorship, and living/working in Utah is a requirement.

Job level and minimum education alignment

Data Engineer II: bachelor’s (or equivalency) + 4 years or master’s (or equivalency) + 2 years of directly related experience.
Data Engineer III: bachelor’s (or equivalency) + 6 years or master’s (or equivalency) + 4 years of directly related experience.
Data Engineer IV: bachelor’s (or equivalency) + 8 years or master’s (or equivalency) + 6 years of directly related experience.
Data Engineer V: bachelor’s (or equivalency) + 10 years or master’s (or equivalency) + 8 years of directly related experience.

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5d ago

Data Engineer 3

Comcast Corporation Chicago, IL

Chicago, IL

5d ago

$104k - $170k/yr Full time Analytics Apache Airflow Application Security

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Job Description

In this onsite role in Chicago, you’ll design and operate advanced data pipelines and structures that support reliable, compliant data for business and analytics use cases.

Responsibilities

Design and build data architectures and pipelines to standardize, transform, and protect data integrity for business insights
Maintain data quality across ingestion, processing, and loading, including monitoring standards throughout the pipeline lifecycle
Create ingestion frameworks that support multiple data types, with ongoing data quality reporting
Deliver accessible data consumption options such as APIs, database views, and data extracts for user applications
Implement data solutions across platforms including Kubernetes, Teradata, and cloud services such as AWS and Databricks
Select data storage platforms based on data sensitivity, privacy requirements, and access needs
Manage data lineage and apply transformation rules to support change management and issue resolution
Partner with cross-functional teams to improve data sourcing and processing while optimizing quality and efficiency
Apply independent judgment and discretion for matters of significance
Maintain regular, consistent, and punctual attendance; able to work nights and weekends and on variable schedules as required
Perform other duties and responsibilities as assigned

Requirements

5-7 years of relevant work experience
5+ years minimum experience
Bachelor’s Degree
Strong SQL proficiency
Programming language proficiency (Python preferred)
Experience with distributed computing frameworks (for example, Apache Spark)
Cloud Data Warehouse management experience
Knowledge of at least one cloud provider: AWS, GCP, or Azure
Familiarity with data pipeline design patterns
Knowledge of data observability

Technologies

SQL, Python
Apache Spark
AWS, GCP, Azure
Kubernetes, Teradata
Databricks
dbt, Airflow
Snowflake
Looker
Data lineage
Data observability
APIs, database views, data extracts
Data Lakehouse Architecture

Exposure (Desired)

Embedded Business Intelligence such as Looker (desired but not required)
Modern data stack exposure including dbt, Airflow, Snowflake, and Apache Spark (highly desired)
Exposure to data consumption challenges and solutions (highly desired)

Employee Expectations

Understand and apply Operating Principles
Own the customer experience and enable seamless digital options
Know your stuff and act as an enthusiastic learner and advocate
Win as a team by collaborating and welcoming new ideas
Participate in the Net Promoter System through feedback loops (for example, huddles and call backs)
Drive results and growth
Support a culture of inclusion
Do what’s right for each other, customers, investors, and communities

Compensation

USD 103,643 - 170,271 per year

Location

Chicago, IL (onsite)

Benefits

Best-in-class Benefits to eligible employees
Array of options with expert guidance and always-on tools personalized to meet individual needs

Disclaimer: This information describes the general nature and level of work for this role and is not a complete inventory of all duties, responsibilities, and qualifications.

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5d ago

Data Engineer

Derex Technologies Inc Washington, DC

Washington, DC

5d ago

Full time Amazon Web Services AWS Aws Glue

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Job Description

Derex Technologies Inc seeks a Data Engineer to build reliable analytics pipelines and Power BI reporting capabilities. The role spans end-to-end delivery, from source ingestion and governed transformations to production dashboards that reflect agreed metric definitions.

Role Focus

You will own the full lifecycle of analytics solutions, including data ingestion, transformation, modeling, and the Power BI semantic layer. You will also partner with business stakeholders to capture reporting requirements and ensure metrics are defined consistently across reports. Emphasis is placed on performance, governance, and data quality.

Key Responsibilities

Build ingestion and transformation pipelines from operational systems, APIs, and files, including incremental loading, historization, and schema change handling.
Design analytics data models, including dimensional models, conformed dimensions, slowly changing dimensions, and aggregate strategies to improve query performance.
Implement data quality and reconciliation controls, including alerting that highlights issues before they affect reporting.
Orchestrate and monitor scheduled workloads, managing dependencies, retries, and failure handling.
Develop Power BI semantic models, including DAX measures, relationships, row-level security, incremental refresh, and performance tuning.
Create reports and dashboards that directly address stakeholder questions, with attention to clarity, accessibility, and load time.
Administer the Power BI environment, including workspaces, deployment pipelines, gateways, capacity, and usage monitoring.
Define and document metric definitions so the same number represents the same meaning across all uses.
Elicit reporting and analytics requirements from business stakeholders and translate them into models, measures, and visuals.
Train and support report consumers and self-service users, including the guardrails that keep self-service reliable.
Document datasets, models, metric definitions, and lineage.
Contribute to solution design, estimation, and technical approach during presales and project planning.
Improve shared standards, reusable components, and report templates as new needs emerge from ongoing engagements.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
Eight (8) years of professional data engineering or analytics engineering experience.
Demonstrated experience delivering an end-to-end analytics solution from source ingestion through production reporting.
Significant Power BI experience, including semantic model design, DAX, and performance tuning (not report authoring alone).
Demonstrated experience working directly with business stakeholders to define reporting requirements and metric definitions.
Experience supporting regulatory, compliance, or operational reporting where numbers are scrutinized preferred.
Experience with public sector, SLED (state, local, and education), or higher-education clients preferred, not required.
Must physically reside in the United States and be authorized to work in the United States.

Technologies and Tools

SQL, Power BI, DAX, Power Query, M, Python
Azure Data Factory, Synapse, Databricks, Snowflake, AWS Glue
Git, CI/CD
Microsoft certification (Power BI Data Analyst Associate, Azure Data Engineer Associate, or Fabric Analytics Engineer Associate)

Location and Work Style

DMV area, hybrid with primarily remote work. In-person client engagement may be required.

Travel is occasional within the DC-metro area for customer engagements and team on-sites.

Reporting, Classification, and Screening

Reports to: Engineering Lead
FLSA classification: Exempt
Background check required: Yes

Certifications

No certification required for this role.
Microsoft certification preferred (examples include Power BI Data Analyst Associate, Azure Data Engineer Associate, or Fabric Analytics Engineer Associate).

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5d ago

Data Engineer, Apple Ads

Apple Cupertino, CA

Cupertino, CA

5d ago

$129k - $195k/yr Full time 3d Design Tools Application Security Aws Data Warehouse

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Job Description

Apple Ads is hiring a Data Engineer to strengthen the Ad Platforms Data team, focused on building the data infrastructure behind next generation analytics and customer experiences. In this onsite role in Cupertino, you will develop and improve high performance data stores and analytical data warehouse capabilities, partnering across engineering, product, and analytics to deliver reliable, scalable data systems.

What you’ll work on

Analyze the existing data model and infrastructure, identify gaps, and recommend architectural improvements.
Collaborate with engineering teams to design and support next generation analytics and reporting systems.
Partner with product and analytics teams to understand their data system requirements.
Automate and optimize data processing tasks by spotting recurring patterns and implementing durable solutions.
Deliver solutions with an emphasis on high performance, privacy, security, scalability, and reliability.
Share knowledge and best practices so partners can use the data warehouse platform effectively.
Work comfortably as part of a distributed team.

Key requirements

Experience designing and operating petabyte-scale data processing systems.
Deep expertise in Apache Spark performance tuning and optimization.
Experience with both batch and real-time/streaming architectures, including Kafka and/or Flink.
Experience building data platforms or processing frameworks reused by multiple teams or pipelines.
AWS experience, including S3 and Kubernetes/EKS (or equivalent cloud platforms).
Minimum 1+ years experience in Cloud Data Engineering, preferably with a background in computer science, mathematics, or a related quantitative field.
Expertise building cloud data warehouses such as Snowflake, Redshift, BigQuery, or analogous architectures.
Strong SQL skills, including data modeling and dimensional modeling, plus experience with data governance.
Practical application experience with data warehousing concepts, methodologies, and frameworks.
Experience with tools and technologies such as Python, Spark, Talend, Informatica, SSIS, or DBT.
Data platform thinking, including designing data pipelines with security, scale, uptime, and reliability in mind.
Ability to clearly explain the benefits and constraints of technology solutions to technical partners, stakeholders, and team members.
Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.

Technologies

Apache Spark
Kafka
Flink
AWS
S3
Kubernetes
EKS
Snowflake
Redshift
BigQuery
SQL
Python
Talend
Informatica
SSIS
DBT

Pay and benefits

Base pay for this role ranges from $129,300 to $194,700 per year. Your base pay will depend on your skills, qualifications, experience, and location.

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary bonuses or commission payments (as applicable)
Relocation (as applicable)
Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
Eligible for discretionary restricted stock unit awards
Ability to purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan

Note: Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Location: Cupertino, CA (onsite)

Experience: 1+ years

Salary: USD 129,300 - 194,700 per year

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5d ago

Data Engineer Stf

Lockheed Martin Fort Worth, TX

Fort Worth, TX

5d ago

$105k - $195k/yr Full time Data Data Analysis Data Analytics

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Job Description

Fort Worth, TX (onsite) with a role focused on building end-to-end data capabilities. Lockheed Martin offers a full-stack data engineering position with comprehensive benefits, flexible work options (such as 4x10 schedules), and support across health, family, and financial planning.

Pay: $104,900 to $194,700 per year (Full-Time).

Responsibilities

Deliver full-stack data solutions across the entire data processing pipeline.
Design and implement data lifecycle capabilities that cover collect, ingest, process, store, persist, access, and deliver data at scale and at speed.
Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources ready for analysis.
Define functional capabilities and specifications for security, backup, and recovery when designing data solutions.
Work across the data solution lifecycle, including analyzing and profiling data, creating conceptual, logical, and physical data model designs, and architecting and designing ETL and reporting/analytics.
Maintain data system performance by identifying and resolving production and development issues; calculate optimum parameter values; evaluate, integrate, and install new releases.
Define standards, best practices, and certification processes for data objects.

Requirements

Degree in Computer Science, Data Science, or a related field.
10+ years of data engineering experience, including 3+ years supporting AI and machine-learning systems, plus experience with business intelligence and data warehousing concepts such as ETL, data modeling, and reporting.
5+ years of experience in data analysis and data or system architecture.
Interim or Active U.S. Government Security Clearance.
Ability to obtain special program access.
Strong proficiency with Eqube, neo4j, and SAP Hana.
Hands-on experience building ETL or ELT pipelines at scale.
Experience with Agile methods.

Technologies

Eqube
neo4j
SAP Hana
ETL
ELT

Benefits

Medical
Dental
Vision
Flexible work arrangements and schedules (e.g., 4x10)
401(k) match
Paid time off
Holidays
Parental Leave
EAP
Flexible Spending Accounts
Education Assistance
Life Insurance
Short-Term Disability
Long-Term Disability

Desired Skills

Experience designing and building ontologies, taxonomies, or knowledge graphs.
Experience with OrientDB, graphDB, or similar open source graph software.
Experience with TeamCenter PLM, Solumina IbaseT, ERP4C, or similar PLM/MES/ERP systems.
Demonstrated ability to establish strong team relationships and deliver an exceptional customer experience.
Excellent organizational, time-management, analytical, and problem-solving skills.
Master’s degree in a related technical field.

$125k - $145k/yr Full time Backend Developer 3d Design Tools Big Data

6d ago

Data Engineer

Reston, VA

7d ago

Full time Analytics Business Analytics Business Intelligence

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