Reporting and Analytics

Reporting and Analytics Developer Jobs

237 jobs found

Today

Senior Data Engineer - AWS Data Platform (Redshift, Glue, and Airflow)

Versant Media Orlando, FL 🇺🇸 Remote

Orlando, FL

Today

Full time Backend Developer Senior 3d Design Tools

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Job Description

Versant Media is hiring a Senior Data Engineer for a fully remote role from Orlando, FL. In this position, you will design and build data pipelines and analytics-ready structures across the data warehouse environment, with hands-on work spanning AWS Redshift, AWS Glue, and Airflow. If you enjoy solving production data challenges and mentoring other Data Engineers, this role combines engineering depth with direct impact on reporting and analytics needs.

What you’ll do

Own database architecture and design for data warehouses and data marts that support presentation layers, elastic cubes, reporting, and analytics.
Build and optimize SQL solutions using tsql or psql, including query tuning, table development, and development of stored procedures and functions.
Create indexes to improve performance across key workloads.
Develop and support ETL/ELT processes, including shared responsibility for monitoring data warehouses and data marts.
Develop and support data pipelines using Airflow, AWS Glue, Azure Data factory, Python, and Golang.
Troubleshoot and resolve data issues in production systems.
Collaborate with business users and project managers to resolve business problems and implement solutions.
Use technical experience to propose improved approaches for new and existing issues.
Coordinate with other IT departments on systems communication processes, including meetings with technical operations and infrastructure groups.
Mentor other Data Engineers.
Identify software solutions needed for new projects.
Provide weekly reporting to management on project status and issues.
Support on-call production support.

What you bring

7+ years of data warehousing / OLAP experience.
7+ years of multidimensional database architecture and design experience.
5+ years SQL experience.
3+ years Python experience.
2+ years Redshift experience.
2+ years NoSQL experience.
Team and vendor partner management.
Clear understanding of principles and techniques of Web development.
Experience with AWS Glue and Airflow.
Experience with API.
Dimensional database architecture experience.
Formal systems life cycle methodology experience.

Helpful experience

Cloud Data Warehouse operations experience.
Tableau, SSRS, big data, and Realtime BI experience.
Experience with data streaming.

Tools and technologies

tsql, psql, Airflow, AWS Glue, Azure Data factory, Python, Golang, Azure, AWS, GCP, Redshift

Fully remote: This role is designated as fully remote, expected to contribute from a non-Versant worksite, most commonly an employee’s residence.

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Today

Sr. Software Engineer

Versant Media New York City, NY

New York City, NY

Today

$140k - $170k/yr Full time Backend Developer Senior Ad Platform

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Job Description

Versant Media is building and operating a video platform ecosystem that supports digital, OTT, and authenticated viewing experiences. In this Senior Software Engineer role, you will work hands on across the full video delivery path, from client playback integrations to live and on-demand streaming workflows, with a focus on reliability, quality of experience, and measurable observability.

What you’ll do

Lead development of video player frameworks and SDKs across web, iOS, Android, and CTV.
Build seamless playback integrations with authentication, personalization, and analytics systems.
Improve startup time, buffering, bitrate adaptation, and overall QoE across devices and network conditions.
Ensure platform support for real-time and near-real-time workflows for live sports, news, and event-based programming.
Implement advertising capabilities using DAI and core ad tech integrations across the platform landscape.
Deliver secure, scalable integrations with MVPDs, identity providers, and subscription platforms.
Integrate with personalization services and data platforms to enable user-specific context and optimizations.
Drive execution across multiple concurrent initiatives while maintaining predictable delivery and alignment with business priorities.
Contribute through code reviews, pair programming, and knowledge-sharing to raise team quality.
Mentor junior engineers and support a culture of continuous learning and improvement.
Make security, performance, and maintainability core considerations in all solutions.
Partner with teams across Product, Distribution, Ad Tech, Data, and Editorial to deliver integrated video experiences.
Coordinate with Infrastructure, Cloud, and DevOps to ensure scalable and reliable platform operations.
Work with product and architecture teams to align on technical direction and business priorities.

What you bring

6+ years of experience in video engineering or streaming platforms supporting media, broadcast, or OTT environments.
Experience with HLS/DASH, DRM, CDNs, encoding/transcoding, and player frameworks.
Proficiency in modern JavaScript/TypeScript and HTML/CSS, plus experience with React, Vue, or Angular.
Experience building and integrating backend services using Node, Python, or Go.
Familiarity with ad-supported video workflows, including AVOD and monetization.
Strong understanding of Identity, Personalization, Authentication, and Subscription systems.
Expertise in analytics, observability, and performance monitoring.
Familiarity with AWS or Azure and CI/CD methodologies.
Strong communication skills and a collaborative approach.

Technologies

HLS, DASH, DRM, CDNs, encoding/transcoding, player frameworks
JavaScript, TypeScript, HTML/CSS
React, Vue, Angular
Node, Python, Go
AVOD, analytics, observability, performance monitoring
AWS, Azure, CI/CD

Location and schedule

New York City, NY or Englewood Cliffs, NJ (hybrid: 3 days onsite).
Englewood Cliffs office amenities include free employee parking, complimentary electric vehicle charging, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up.
Shuttle service is available to and from the Englewood Cliffs campus with pickup locations across Manhattan’s East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus.

Compensation

USD 140,000 - 170,000 per year.

Additional information

During the selection process, external candidates may be asked to attend an in-person interview with a Versant Media employee at one of the company locations prior to a hiring decision.
Versant Media provides equal employment opportunities to all applicants and employees without regard to protected characteristics under applicable law.
Candidates who are qualified individuals with a disability or a disabled veteran may request a reasonable accommodation during the application and recruitment process by emailing candidateaccessibility@versantmedia.com.
Versant Media is committed to fair and equitable compensation practices and includes a good-faith pay range for each position to support applicable state and local pay transparency laws.
Versant Media is not accepting unsolicited assistance from search firms for this opportunity.

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1d ago

Senior Geospatial Data Engineer

Vantor Services Inc. McLean, VA

McLean, VA

1d ago

$137k - $200k/yr Full time Senior Analytics ArcGIS Enterprise

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Job Description

Vantor Services Inc. is hiring a Senior Geospatial Data Engineer to help mission teams curate and transform geospatial data into usable ArcGIS Portal content and data-driven analytics. In this onsite role in McLean, VA, you will support geospatial data processing and visualization workflows using Python and Tableau, backed by tools and platforms across the ArcGIS ecosystem. Pay ranges from USD 137,000 to 200,200 per year, based on location and experience.

Responsibilities

Manage, curate, publish, and maintain geospatial datasets, hosted feature layers, web maps, dashboards, and data products in ArcGIS Portal.
Ensure mission users have accurate, well-organized, current, and usable geospatial information.
Use Python, Tableau, ArcGIS, and related tools to process large datasets, automate workflows, prepare data for analysis, and deliver visual analytics that surface patterns, trends, anomalies, and operationally relevant insights.
Partner with mission users to understand geospatial data needs, analytic questions, visualization requirements, and operational workflows.
Identify, acquire, clean, transform, validate, curate, and publish large geospatial and tabular datasets from diverse sources.
Develop Python scripts and tools to automate geospatial processing, quality control, enrichment, transformation, and publication workflows.
Manage and update ArcGIS Portal content, including hosted feature layers, map services, web maps, dashboards, data hubs, and related geospatial products.
Build and maintain Tableau dashboards, reports, and analytic visualizations for the data processing office and mission stakeholders.
Apply cartographic design, symbology, labeling, layer management, metadata practices, and performance tuning to improve usability of geospatial products.
Integrate structured, unstructured, tabular, and spatial datasets into cohesive analytical and visualization environments.
Support geospatial data library functions such as dataset organization, metadata creation, version management, quality control, discoverability, and lifecycle maintenance.
Create documentation, data dictionaries, standard operating procedures, user guidance, and technical recommendations to support repeatable data management and visualization workflows.
Work independently across two office environments while collaborating with multidisciplinary teams and communicating technical concepts clearly to technical and non-technical audiences.

Requirements

Active TS/SCI U.S. Government security clearance with polygraph and U.S. citizenship.
Bachelor’s degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline.
12+ years of professional experience in geospatial technology, software development, data engineering, data analysis, or a related technical field.
Strong Python experience for geospatial data processing, automation, transformation, analysis, and workflow improvement.
Demonstrated experience working with large geospatial datasets, including cleaning, formatting, joining, enriching, validating, and preparing data for analysis or publication.
Hands-on experience with ArcGIS Enterprise, ArcGIS Portal, or ArcGIS Online, including publishing and maintaining hosted feature layers, web maps, dashboards, and geospatial content.
Experience curating geospatial data holdings, including organizing datasets, maintaining metadata, improving discoverability, and ensuring data quality.
Experience developing dashboards, reports, or analytic visualizations in Tableau or a comparable business intelligence platform.
Understanding of geospatial data formats, projections, coordinate systems, spatial joins, geoprocessing workflows, cartographic principles, and spatial data management.
Experience with relational databases, preferably PostgreSQL/PostGIS, for storing, querying, and managing spatial or tabular data.
Strong analytical, problem-solving, communication, and customer engagement skills.
Proven ability to work independently with minimal guidance while coordinating effectively across teams, offices, and mission stakeholders.
Eligibility is contingent upon verification of clearance status.
Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Benefits

Robust 401(k) with company match
Mental health resources
Student loan repayment assistance
Adoption reimbursement
Pet insurance

Technologies

Python, Tableau, ArcGIS, ArcGIS Enterprise, ArcGIS Portal, ArcGIS Online, ArcPy
GeoPandas, Shapely, Fiona, Rasterio, GDAL, QGIS
PostgreSQL, PostGIS, Elasticsearch, Kibana
Amazon S3, ArcGIS Hub
Jira, Confluence, DevOps

Pay Transparency

The base pay for this position within the Washington, DC metropolitan area is $137,000.00 - $182,000.00 - $200,200.00 annually. For all other states, geographic cost of labor is used to develop market-driven ranges for roles, so ranges may differ by location.

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1d ago

Medical Analytics Data Engineer

Pfizer New York, NY 🇺🇸 Remote

New York, NY

1d ago

$124k - $207k/yr Full time Apache Airflow Big Data Bigdata

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Job Description

Build analytics data foundations that help shape medical insights. At Pfizer, this remote role supports data scientists working on care gaps and HCP prioritization models by developing scalable, standards-adherent analytics data engineering. You will design data products and partnerships that improve analytics development efficiency while keeping data collection, storage, and processing accurate and reliable.

Compensation: USD 124,400 to 207,400 per year (annual base salary range). This position is based in New York, NY (remote).

Responsibilities

Design, develop, optimize, and maintain data architecture and pipelines, including feeding medical data sources into a data lake for ongoing projects.
Partner with product management and a data lead to develop technical architectures for analytical models.
Identify required data inputs for analytics use cases (for example, claims data for unmet need analysis).
Gather, prepare, and maintain datasets needed to perform analytics.
Oversee data systems in close collaboration with the data management lead, ensuring accurate collection, storage, and processing of data.
Enhance the data infrastructure for greater scalability and optimize delivery, including automating manual processes to retrieve medical data.
Solve complex data problems to deliver insights that enable the team to produce required analytics.
Create data products that improve productivity for data science colleagues and support collaboration.
Advise, consult, mentor, and coach other data and analytics colleagues on data standards and practices.
Foster a culture focused on sharing, reuse, design for scale stability, and operational efficiency for data and analytical solutions.
Lead evaluation, implementation, and deployment of emerging tools and analytics data engineering processes to improve team productivity.

Requirements

Demonstrated breadth of diverse leadership experiences, including the ability to influence and collaborate with peers, coach others, oversee colleague work, and drive meaningful outcomes and business impact.
BA/BS degree, with 6+ years of experience in data engineering (notably in healthcare) or 5+ years of experience with an MBA/MS.
Degree in Computer Sciences, Statistics, Clinical Informatics, or similar.
Relevant certification and/or work experience in data engineering.
Demonstrated effectiveness working in cross-functional environments.
Proven influencing skills and strong interpersonal skills to build rapport with Pfizer leaders and key stakeholders.
Ability to partner cross-culturally/regionally.
Effective English verbal and written communication with flexibility to be clear, consistent, compliant, and appropriate for scientific/technical, promotional, patient/consumer, regulatory, and media contexts.
In-depth understanding of pharmaceutical medicine business areas including clinical trial design, GCP, data interpretation, drug development, regulatory and promotional rules/guidance, legal and compliance, issue management, and business development opportunity evaluations.
Experience with Infrastructure as code, data warehousing, Apache Airflow, Kafka or similar streaming data engineering tools.
Experience with Databricks and DSS Data Science Studio (Dataiku).
Understanding of taxonomy structures and hierarchy.
Experience implementing methods including Tag Management Solutions such as Tealium iQ (primarily), GTM, Adobe Launch, Dynamic Tag Manager, Ensighten.
Understanding and ability to work with tag managers, including writing JavaScript code.
Marketing performance analysis, including data aggregation (using marketing and click-stream APIs, data cleaning and transformation).
Understanding of digital analytics including clickstream data, Adobe and/or Google Analytics, and Drupal platforms.
Knowledge of Adobe Analytics, Google Analytics, Omniture SiteCatalyst, and Matomo/Piwik.
Experience with tag managers and tag debugging tools, including Tealium IQ, Adobe Launch/DTM, Google Tag Manager, Piwik Pro, Signal/Bright Tag, and Charles Proxy.
Programming languages: JavaScript, jQuery. Markup languages: HTML, CS.
1+ years in a client-facing role for solutioning and/or evangelizing technology approaches.

Benefits

401(k) plan with Pfizer Matching Contributions.
Additional Pfizer Retirement Savings Contribution.
Paid vacation, holiday and personal days.
Paid caregiver/parental and medical leave.
Health benefits including medical, prescription drug, dental and vision coverage.
Eligible to participate in Pfizer’s Global Performance Plan with a bonus target of 17.5% of base salary.
Eligibility to participate in Pfizer’s share based long term incentive program.
Eligible for Relocation Package: No.

Other Details

Schedule/Travel: Travel as required, up to 40% of the role.
Last day to apply: August 18, 2026.
Additional location: United States; Remote. #LI-PFE
Work authorization: Candidates must be authorized to be employed in the U.S. U.S. work visa sponsorship is not available for this role now or in the future. Position requires permanent work authorization in the United States.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws. If you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that Pfizer pays or reimburses, your name, address, and amount of payments made will be reported to the government.

EEO & Employment Eligibility

Pfizer is committed to equal opportunity and complies with applicable laws governing nondiscrimination and employment eligibility verification. Pfizer is an E-Verify employer. If you need assistance completing the application process or interviewing, contact disabilityrecruitment@pfizer.com.

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1d ago

Data Engineer, Analytics

Meta Remote 🌍 Remote

Remote

1d ago

$210k - $281k/yr Full time Data Data Analysis Data Analytics

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Job Description

Lead end-to-end analytics systems and data foundation efforts across Meta’s products, including Instagram, with a focus on architecture, governance, security, and high-quality analytics.

Responsibilities

Drive the vision for the data foundation and analytics platform to accelerate development and improvement of cross-platform components across Instagram; define and execute the plan to realize that vision
Own data architecture for multiple large-scale initiatives, including evaluating design choices and operational cost-benefit tradeoffs within data systems
Develop and contribute to frameworks that improve the effectiveness of logging data; collaborate with data infrastructure teams to triage issues and resolve them
Partner cross-functionally with Data Scientists, Product Managers, and Software Engineers to understand data requirements and deliver analytics capabilities
Define and manage SLAs for data sets within areas of ownership
Determine and implement security models aligned to privacy requirements; ensure safeguards are followed; address data quality issues; evolve governance processes within owned areas
Design, build, and launch collections of sophisticated data models and visualizations supporting use cases across products and domains
Solve complex data integration challenges using optimal ETL patterns, frameworks, and query techniques; support sourcing from structured and unstructured data sources
Help own production processes; optimize complex code using advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to make development of data artifacts easier
Influence product and cross-functional teams to identify data opportunities and drive measurable impact
Mentor team members through actionable feedback and by giving and receiving that feedback

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
10+ years experience in the data warehouse space
10+ years experience with custom ETL design, implementation, and maintenance
10+ years experience with object-oriented programming languages
10+ years experience in schema design and dimensional data modeling
10+ years experience authoring SQL statements
Experience analyzing data to identify deliverables, gaps, and inconsistencies
Experience managing and communicating data warehouse plans to internal clients

Technology

SQL
Python

Preferred Qualifications

BS/BA in a technical field, Computer Science, or Mathematics
Experience working with either MapReduce or an MPP system
Experience working autonomously in global teams
Experience influencing product decisions with data
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (for example, efficiency gains or quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (for example, risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (for example, prompt/context engineering and agent orchestration) and staying current with emerging AI technologies

Benefits

bonus
equity
benefits

Location: Remote

Compensation: USD 210,000 - 281,000 per year

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1d ago

Data Engineer - Business Analytics

Primoris Services Corporation Texas 📍 United States Remote

Texas

1d ago

$135k - $155k/yr Full time Analytics Azure Data Lakehouse Big Data

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Job Description

Primoris Services Corporation is hiring a Data Engineer - Business Analytics for a Texas (remote) role. You will design and optimize analytics-ready datasets in a modern Azure + Databricks data platform, with the curated semantic layer delivered in Databricks as part of a medallion architecture (Silver and Gold).

What you’ll do

Design, build, and maintain scalable data pipelines and curated datasets in the Databricks Lakehouse using Silver and Gold layers.
Develop and manage analytics-ready data models and semantic structures in Databricks that align to enterprise reporting needs.
Transform raw data into business-consumable datasets with standardized definitions, KPIs, and metrics.
Apply dimensional modeling and other modeling techniques within a distributed data environment.
Own the semantic layer within Databricks to support consistent definitions across reporting and analytics use cases.
Enable downstream consumption by visualization and analytics tools such as Power BI, with no reliance on embedded semantic modeling.
Partner with business analysts and reporting teams to improve usability, performance, and scalability of datasets.
Optimize data models and datasets for performance, including query efficiency for enterprise reporting workloads.
Ensure data quality, integrity, and consistency throughout the full data lifecycle.
Implement and enforce data governance including data security, masking, access controls, and cost controls.
Translate business requirements into scalable data solutions and align structures to the enterprise data dictionary and KPI definitions.
Communicate dataset structures and data model designs clearly to both technical and non-technical stakeholders.
Support the evolution of the enterprise analytics platform within Azure and Databricks.
Advance best practices for CI/CD, deployment automation, and data engineering standards.
Support advancing data capabilities, including AI/ML use cases where applicable.

What you bring

Bachelor’s degree in Information Technology, Computer Science, Business Analytics, or a related field.
6+ years of experience in data engineering, data modeling, or analytics engineering roles.
Strong expertise in Databricks Unity Catalog, SQL, and Python for transformation and pipeline development.
Proven experience designing and implementing data models within modern data platforms such as a Lakehouse architecture.
Experience with medallion architecture (Bronze/Silver/Gold layers).
Understanding of BI tools like Power BI, emphasizing dataset consumption rather than ownership of the semantic layer.
Experience with CI/CD pipelines, version control, and deployment processes.
Familiarity with Agile/Scrum delivery methodologies.

Tools you’ll work with

Databricks, Databricks Lakehouse, Databricks Unity Catalog
SQL, Python
Azure, Power BI
CI/CD pipelines, Agile/Scrum

Compensation & benefits

Pay range: USD 135,000 - 155,000 per year
Health/Dental/Vision insurance plans
401k with employer match
Paid time off
10 paid holidays
Stock purchase plan
Pay equity compensation range: USD 135,000 - 155,000

Working conditions

Occasional travel may be required.
Flexible work hours may be necessary to meet project deadlines.

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2d ago

Epic Cogito/BI Developer

ReMedi Health Solutions Remote 🌍 Remote

Remote

2d ago

$90 - $100/hr Contract Business Analytics Data Analysis Data Architecture

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Job Description

ReMedi Health Solutions is seeking a Business Intelligence Developer with Epic Cogito experience to contribute to reporting and analytics delivery for a large, multi-entity Epic implementation. This is a contract role focused on build, configuration, testing, activation, and stabilization activities across Epic analytics workflows.

Key Responsibilities

Participate in workflow validation and convert approved reporting and analytics requirements into Epic build workbooks and configuration.
Configure and build reports, dashboards, data models, and extracts within Cogito, Caboodle, and Clarity using designated nonproduction environments; complete peer review and documentation as required.
Develop and execute unit tests; support integrated testing, regression testing, user acceptance testing (UAT), and defect resolution.
Coordinate dependencies across analytics and related workstreams, including clinical, revenue cycle, scheduling, patient engagement, interface, conversion, security, and technical efforts.
Support assigned readiness, cutover, activation, command-center, at-the-elbow, and stabilization activities.
Maintain configuration guides, decision records, test evidence, defect status tracking, and knowledge-transfer documentation.
Work in accordance with established governance, change-control, privacy, security, and quality-management processes.

Required Qualifications

Current Epic certification in Cogito, or demonstrated equivalent Cogito/Caboodle/Clarity development experience.
Demonstrated hands-on experience building reports, dashboards, and data models within the certified module.
Experience supporting at least one complete Epic implementation, major deployment, or comparable enterprise initiative.
Experience with unit testing, integrated testing, UAT, defect management, readiness, activation, and stabilization.
Ability to provide proof of current Epic certification before candidate submission.
Ability to collaborate during Pacific Time business hours and travel to Washington State when required.

Technologies

Epic Cogito
Epic Caboodle
Epic Clarity

Position Details

Open Position: 1 Cogito/Business Intelligence Developer
Location: Remote (remote)
Job Type: Contract
Compensation: USD 90 to 100 per hour

Preferred Qualifications

Multiple current Epic certifications or cross-module experience (for example, Cogito, Caboodle, and Clarity).
Two or more full Epic implementations or major enterprise deployments.
Healthcare analytics, data warehousing, or enterprise reporting background.
Experience in public-sector, behavioral health, correctional health, Medicaid, or multi-entity healthcare environments.
Experience supporting a shared Epic instance, Foundation System standardization, large-scale testing, or multi-wave activation.