June 27, 2026

Subject Matter Expert - Data Visualization SME

Senior • On-site

140,004 - 170,004 USD/yr

Washington, DC

Job Location

This role is 100% on-site in Washington, DC at Joint Base Anacostia-Bolling (JBAB).

Clearance

Must have an active TS/SCI Security Clearance.

Job Description

In your role as a Data Visualization SME, you will provide expertise supporting financial management modernization efforts through data analytics, visualization, reporting automation, and business intelligence solutions. You will work closely with financial management stakeholders to transform complex financial, budgetary, and operational data into actionable insights that support audit readiness, financial reporting, internal controls, and executive decision-making.

  • Design, develop, and maintain enterprise financial dashboards, scorecards, and data visualizations that support financial reporting, audit readiness, and organizational performance management.
  • Analyze large financial and operational datasets from multiple source systems to identify trends, anomalies, risks, and opportunities for process improvement.
  • Develop automated reporting solutions that improve the accuracy, consistency, and timeliness of financial information provided to leadership.
  • Translate complex financial management requirements into intuitive visualizations and reporting products for both technical and non-technical audiences.
  • Support audit readiness initiatives through data analysis, reconciliation activities, and reporting of key financial metrics.
  • Develop data models, business rules, and reporting logic to support financial statement preparation, audit support, and management reporting.
  • Collaborate with functional and technical stakeholders to improve data quality, governance, and reporting capabilities across financial management systems.
  • Perform financial data validation and reconciliation activities to ensure completeness, accuracy, and reliability of reporting outputs.
  • Develop standard operating procedures (SOPs), reporting documentation, data dictionaries, and visualization governance artifacts.
  • Support the development of corrective action plans (CAPs), remediation strategies, and performance monitoring solutions related to audit findings and financial management initiatives.
  • Research emerging technologies, analytics methodologies, and data visualization best practices to enhance organizational reporting capabilities.
  • Present analytical findings and recommendations to senior leadership and client stakeholders.

Required Skills

  • Bachelor's degree in Accounting, Finance, Business, or a related field.
  • 6+ years of experience supporting federal financial management, accounting, auditing, budgeting, or financial reporting initiatives.
  • 3+ years of experience developing data visualizations, dashboards, and reporting solutions using Power BI, Tableau, or similar business intelligence platforms.
  • 3+ years of experience analyzing and interpreting large financial, budgetary, or operational datasets.

Desired Skills

  • Strong understanding of data governance, data quality, and reporting best practices.
  • CPA, CDFM, CGFM, Microsoft Power BI Data Analyst Associate, Tableau Certified Data Analyst, or similar certification.
  • Experience developing Power BI semantic models, DAX measures, calculated columns, and advanced visualizations.
  • Experience integrating data from ERP, accounting, budget, or financial management systems.
  • Familiarity with OMB Circular A-123, FMFIA, FFMIA, FASAB, and federal financial reporting requirements.
  • Experience supporting audit remediation, audit liaison activities, CAP development, and NFR remediation.
  • Experience with SQL, ETL processes, data transformation, and data modeling.
  • Excellent oral and written communication skills.
  • Experience briefing senior executives and translating technical findings into business-focused recommendations.

Compensation and Benefits

We offer a competitive salary range of $140,000 to $170,000 in the United States. Compensation is determined by education, experience, skills, and geographic location. The comprehensive Total Rewards package includes medical, dental, and vision coverage, a 401(k)-contribution plan, holiday and personal time off, professional development training and certification benefits, health and wellness subsidies, and paid time off for community service.

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Hybrid

Bengaluru, KA, India

🏢 Summary: The role focuses on managing end-to-end data management and dashboarding for Digital Reality applications, ensuring accurate reporting and operational performance monitoring. It involves developing KPIs, building Power BI dashboards, integrating systems, and automating processes using scripting and APIs. The position also supports system enhancements, compliance, documentation, and user training in a cross-functional environment. 🗂️ Requirements: MCA or Bachelor's degree in Computer Science or Electronics, 3–4 years of relevant experience in data management or application support, Proficiency in Python, Proficiency in HTML, Proficiency in MySQL, Expertise in Power BI including data modeling and DAX, Experience with scripting and APIs for automation, Knowledge of IT infrastructure and cloud systems, Strong analytical and problem-solving skills, Ability to document issues and provide technical documentation 📃 Skills: Python, HTML, MySQL, PowerBI, DAX, VSCode, APIs, Azure, DevOps, ServiceNow, ITIL 🏢 Description: Summary: This role focuses on managing the data and dashboards for Digital Reality applications. The primary goal is to ensure effective data management, system integration, and reporting for operational performance within the organization. Responsibilities: Manage end-to-end data management and dashboarding, ensuring accuracy and relevance. Develop KPIs and dashboards to monitor operations and user data effectively. Collaborate with cross-functional teams to streamline operations. Track technological advancements and suggest system enhancements. Ensure compliance with internal policies and industry standards. Document issues and propose resolutions to management. Provide training to users regarding systems and equipment. Analyze and refine processes to improve service delivery. Must Haves: MCA or Bachelor's degree in Computer Science or Electronics. 3-4 years of relevant experience. Proficiency in Python, HTML, MySQL, and tools like Visual Studio Code & Power BI. Expertise in Power BI, particularly in data modeling and DAX. Strong analytical and problem-solving skills. Knowledge of IT infrastructure and cloud systems. Experience in scripting and using APIs for automation. Excellent communication and documentation skills. Nice to Haves: Familiarity with Azure and DevOps. Knowledge of Service Now as a service management tool. ITIL v4 Certification. Other Details: Location: Not specified. Team Structure: Involves collaboration with cross-functional teams. Reporting Lines: Not specified; likely involves stakeholder interaction. Tools/Methodologies: Focus on Power BI and software development tools. Reason (Must Have): MCA or Bachelor's degree: Required to ensure a foundational understanding of computer science principles relevant to the data management tasks. 3-4 years experience: Ensures the candidate has enough hands-on experience dealing with the complexities involved in data management and application support. Python and Power BI Proficiency: Essential for developing effective dashboards and automating reporting processes, directly linking to KPIs and operational monitoring. Analytical skills: Critical for problem-solving within system integration and performance tracking responsibilities. Reason (Nice to Have): Knowledge of Azure & DevOps: Provides a competitive edge for managing cloud applications, enhancing operational performance and flexibility. Service Now knowledge: Beneficial for managing service requests and incidents, facilitating smoother operational support. ITIL Certification: Indicates an understanding of service management best practices, adding value to process improvement aligned with industry standards. Trust Score: Score: High Evidence: The description is clear, with detailed responsibilities and specific technologies outlined, allowing for effective candidate sourcing.Sourcing Guidance / Clarifications Needed:The job description provides good technical clarity for sourcing. Consider these potential recommendations to enhance the search: Recommendation: Look for candidates with experience in data analytics alongside Python and Power BI . Rationale: This combination is often necessary for roles focused on data-driven decision-making and system integration. Recommendation: Identify candidates from industries heavily investing in cloud technologies or software development . Rationale: These sectors likely have professionals with relevant skills and experience related to the cloud-based aspects of this role. Recommendation: Consider profiles with prior experience in IT service management roles. Rationale: These candidates will have familiarity with operational processes that align with managing SRs and incidents, enhancing overall performance in Digital Reality applications.

Technology

emagine Polska

Senior Data Solutions Engineer (SQL and Python) for banking

Senior

Hybrid

Gdansk, Poland

165 - 165 PLN/hr

🏢 Summary: Hybrid B2B role in the banking sector focused on designing and maintaining data models for credit and financial data processes. The position involves translating business requirements into scalable technical solutions, ensuring data quality, and supporting integrations, automation, and end-to-end solution design. Candidates will collaborate with stakeholders and technical teams while working with SQL, Python, and data integration technologies. 🗂️ Requirements: Extensive experience in data modeling and solution design, Strong SQL skills, Hands-on experience with relational databases, Good programming skills in Python, Experience with data integration and transformation, Experience with data mapping across multiple systems, Understanding of APIs and system integrations, Understanding of process modeling, Experience ensuring data quality and governance standards, Strong analytical and problem-solving skills, Experience translating business requirements into technical solutions, Experience working with business stakeholders, Fluent English 📃 Skills: SQL, Python, APIs, Kafka, PowerBI, Java 🏢 Description: Industry: banking Location: hybrid - 3 days per week from office in Warsaw or Gdańsk Rate: 165 pln/h on b2b Summary: The primary objective of this role is to design and maintain data models that support credit and financial data processes. This position focuses on translating business requirements into scalable technical solutions, ensuring data quality, and facilitating collaboration between technical and non-technical teams. Main Responsibilities: Design and maintain data models supporting credit and financial data processes. Analyse business requirements and translate them into scalable technical solutions. Define and manage data mappings between multiple systems to ensure accurate data integration and transformation. Ensure data quality, consistency, traceability, and auditability across the solution landscape. Collaborate with business stakeholders, architects, and development teams on end-to-end solution design. Prepare and maintain technical documentation and functional specifications. Support process optimization and automation using AI-assisted tools. Participate in solution implementation, testing, and continuous improvement activities. Key Requirements: Extensive experience in data modeling and solution design. Strong SQL skills and hands-on experience with relational databases. Good programming skills in Python. Experience with data integration, transformation, and data mapping across multiple systems. Understanding of APIs, system integrations, and process modeling. Experience ensuring data quality, consistency, and governance standards. Strong analytical and problem-solving skills. Experience working directly with business stakeholders and translating business requirements into technical solutions. Fluent English, both written and spoken. Nice to Have: Knowledge of Kafka. Experience with Power BI. Familiarity with Java development. Understanding of data warehouse concepts and architecture. Experience using AI tools for documentation, testing, data analysis or development support. Experience in banking, finance, or regulatory reporting environments. Knowledge of credit risk, rating, or financial statement data domains.

Technology

LG Ads

Senior Software Engineer, Measurement & Reporting

Senior

On-site

Denver, CO , +1

153,996 - 219,996 USD/yr

🏢 Summary: Senior Software Engineer I role focused on building and maintaining large-scale data platforms, pipelines, and AI-driven applications for measurement and reporting in the AdTech space. The position involves developing scalable batch and real-time data systems, backend services, and agentic AI solutions, with occasional frontend work. On-site presence is required four days per week in Manhattan or Denver. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, 5+ years of experience in data engineering or software engineering, Experience building large-scale data pipelines and distributed data processing systems, Proficiency in Python, Proficiency in SQL, Experience with modern data platforms (e.g., Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, Databricks), Strong knowledge of data modeling, data warehousing, and data lakes, Experience with relational and NoSQL databases, Experience with AWS, Azure, or Google Cloud, Experience building APIs and backend services, Familiarity with Generative AI, AI agents, RAG, and orchestration frameworks, Experience writing unit, integration, and end-to-end tests, Ability to work on-site 4 days per week in Manhattan or Denver 📃 Skills: Python, SQL, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, Databricks, MySQL, PostgreSQL, MongoDB, Redis, AWS, Azure, GCP, APIs, LLM, RAG, LangChain, LangGraph, CrewAI, AutoGen, Scala, PySpark, Docker, Kubernetes, React, TypeScript, CI/CD 🏢 Description: We require people to be on-site, 4 days/week at our Manhattan or Denver office and are unable to offer relocation support. The Opportunity We are seeking a talented and motivated Senior Software Engineer I to join our Measurement and Reporting team. We enable our clients to visualize their impact across different verticals and empower our sales and operations teams to identify opportunities and address shortcomings during campaign execution. You will primarily work on designing, building, and maintaining large-scale data platforms and pipelines that power our reporting, analytics, and AI-driven solutions. In addition, you will contribute to the development of agentic AI applications that help automate workflows, enhance operational efficiency, and unlock new capabilities across the organization. You may also occasionally work on frontend applications to deliver end-to-end solutions and improve user experiences. If you're passionate about building scalable data systems, leveraging AI technologies, and solving complex engineering challenges at scale in the AdTech space, we want to hear from you! Responsibilities - Design, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems supporting reporting, analytics, and machine learning applications. - Build and optimize batch and real-time data processing solutions using modern data engineering frameworks and cloud-native technologies. - Design and maintain data models, data warehouses, and data lakes to ensure high-quality, reliable, and accessible data. - Develop and maintain integrations between internal and external systems, ensuring efficient data movement and consistency across platforms. - Build and enhance agentic AI applications, leveraging LLMs, AI agents, orchestration frameworks, and automation workflows to solve business problems. - Collaborate with product, analytics, operations, and engineering teams to identify opportunities for AI-driven automation and intelligent decision-making. - Contribute to backend services and APIs that support data products, reporting applications, and AI-powered solutions. - Occasionally develop frontend features and dashboards to support internal and customer-facing applications. - Monitor, troubleshoot, and optimize data pipelines and AI systems for performance, reliability, scalability, and cost efficiency. - Implement data governance, quality checks, monitoring, and observability practices to ensure data integrity and operational excellence. - Conduct code reviews, provide constructive feedback, and promote engineering best practices across the team. - Mentor junior engineers and contribute to a culture of continuous learning, innovation, and technical excellence. Requirements - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. - 5+ years of experience in data engineering, software engineering, or a related technical role. - Strong experience building and maintaining large-scale data pipelines and distributed data processing systems. - Proficiency in Python and SQL, with experience developing production-grade data solutions. - Experience with modern data platforms and technologies such as Databricks, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, or similar technologies. - Strong understanding of data modeling, data warehousing, and data lake architectures. - Experience working with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis). - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Experience building APIs and backend services. - Familiarity with Generative AI technologies, AI agents, prompt engineering, retrieval-augmented generation (RAG), and agent orchestration frameworks. - Demonstrated ability to stay current with AI tools and emerging technologies, with a strong aptitude for rapidly learning and adopting new frameworks. - Proficiency in writing and maintaining unit tests, integration tests, and end-to-end tests. - Ability to coordinate and work with contractors/consultants while owning the quality and delivery of assigned projects. Preferred - Familiarity with AdTech. - Experience with Scala/PySpark and distributed data processing frameworks. - Experience with Databricks and Delta Lake. - Experience building production AI applications using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies. - Familiarity with vector databases and semantic search technologies. - Experience with CI/CD pipelines and Infrastructure as Code. - Familiarity with containerization (Docker) and orchestration platforms (Kubernetes). - Exposure to frontend technologies such as React, TypeScript, or modern JavaScript frameworks. - Experience with observability, monitoring, and data quality tools. Compensation Range: $135K - $220K Additional Compensation Details: Tier 2 (all other U.S. Locations outside of Tier 1) Salary: $135K – $192.5K Bonus: Offers Bonus Tier 1 (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area) Salary: $154K – $220K Bonus: Offers Bonus