clinical data manager, digital medicine and translational imaging - fsp - east coast us

senior data analyst

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biomedical cybersecurity team engineer

clinical data manager, digital medicine and translational imaging - fsp - east coast us Jobs in Washington

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cloud security engineer

data engineer

AEM Corporation

<div><div><div><div>Data Engineer 
Position Summary 
Join our team as a Data Engineer and become a key contributor to building trusted, high-quality data products for Federal clients. You will design, implement, and operate scalable data pipelines and lakehouse solutions using Microsoft Azure services including, Azure Synapse, ADLS Gen2, and Azure Functions, and Logic apps. You will collaborate closely with product owners, analysts, and stakeholders in a Scrum environment. The ideal candidate is hands-on, curious, collaborative, comfortable asking for help, offering help, and proposing ideas that improve team velocity and value. 
What You&rsquo;ll Do
<ul><li>Design and implement secure, scalable data pipelines in Azure (Synapse Notebooks, Python, Pandas, pySpark, Synapse Pipelines, Azure Functions, Logic Apps, etc.) to ingest, profile, transform, improve data quality, and publish trusted data.
</li></ul><ul><li>Engineer robust lake storage on ADLS Gen2 using Parquet, Iceberg, partitioning techniques, and performance optimization techniques.
</li></ul><ul><li>Establish data quality controls: profiling, validation rules, reproducible transformations, and automated tests with monitoring/alerting.
</li></ul><ul><li>Operationalize pipelines with CI/CD, environment promotion, secrets management, and run-time observability (e.g., Azure DevOps).
</li></ul><ul><li>Model and serve data for analytics/BI (e.g., Power BI), including row-level security and refresh orchestration.
</li></ul><ul><li>Document design decisions, lineage, and data contracts; contribute to catalog/metadata management (e.g., Microsoft Purview).
</li></ul><ul><li>Collaborate within a Scrum team&mdash;participate in sprint planning, reviews, and retros&mdash;and partner with product owners/stakeholders to refine user stories.
</li></ul><ul><li>Continuously improve team ways of working: propose automation, standardization, and quality practices that increase throughput and reliability.</li>
</ul>What You&rsquo;ll Bring (Required Qualifications)
<ul><li>U.S. citizen with the ability to obtain a Public Trust background investigation.</li>
</ul><ul><li>5+ years of professional data engineering experience and a bachelor&rsquo;s degree (or 3+ years with a related advanced degree).</li>
</ul><ul><li>Strong Python (pandas, PySpark) and SQL; experience building reproducible, testable data transformations.
</li></ul><ul><li>Hands-on expertise with Azure Synapse Analytics (Notebooks/SQL/Spark) and ADLS Gen2.
</li></ul><ul><li>Production experience with Synapse or Azure Data Factory, Functions, and Logic Apps for event-driven orchestration.
</li></ul><ul><li>Solid data architecture fundamentals (lakehouse patterns, partitioning, schema management) and performance tuning at scale.
</li></ul><ul><li>Data quality, lineage, and governance mindset; familiarity with Microsoft Purview or equivalent catalog/lineage tooling.
</li></ul><ul><li>Version control (Git) and CI/CD practices (e.g., Azure DevOps) for data solutions.
</li></ul><ul><li>Excellent communication skills and a collaborative, help-seeking/help-giving approach in a Scrum team.
</li></ul>Preferred Qualifications
<ul><li>Experience integrating with AWS data services (S3, Glue/Glue Data Catalog, Lambda) and/or cross-cloud data patterns.
</li></ul><ul><li>Experience enabling BI/analytics (Power BI, model design, RLS) and supporting analysts with performant datasets.
</li></ul><ul><li>Experience building observability for data systems (usage/cost telemetry, data SLAs, pipeline health dashboards).
</li></ul><ul><li>Familiarity with MDM and reference data concepts and enterprise governance.
</li></ul><ul><li>Relevant certifications: Microsoft Azure Data Engineer (DP-203), Azure Enterprise Data Analyst, or AWS data certifications.
</li><li>Existing Federal Government Clearance.</li>
</ul>How We Work
<ul><li>Scrum-aligned: contribute to clear user stories, sizing, and acceptance criteria; continually update documentation for work items in progress; participate actively in planning, reviews, and retros.
</li></ul><ul><li>Team-first: seek help early, offer help freely, and elevate team standards through code reviews, pairing, and documentation.
</li></ul><ul><li>Outcome-driven: measure impact (performance, quality, cycle time) and iterate on process and tooling to increase value delivery.</li> 
</ul></div></div> 
 
 
</div></div><div></div><div><div><div><div>AEM and its affiliates are equal opportunity employers, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status, or any other characteristic protected by law. &ndash; AA M/F/Vet/Disability 
 
Federal law requires AEM and its affiliates to verify identity and employment eligibility with information from your Form I-9. The E-Verify system is used. 
 
The California Consumer Privacy Act of 2018 (&ldquo;CCPA&rdquo;) imposes specific obligations on businesses processing personal information of California residents. Pursuant to the CCPA, AEM and its affiliates are required to provide applicants who are California residents a notice, used at or before the point of collection of such personal information, which identifies the categories of personal information that may be collected and why AEM and its affiliates collect such information. Applicants can find information about AEM&rsquo;s privacy policy and CCPA here.</div> 
</div> 
</div></div> 
 
AEM is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. 
XJ6

Data Engineer

Syntel

<div><h2 class="jobSectionHeader">Overview</h2>
<div>Syntelligent Analytic Solutions, LLC provides uniquely qualified personnel with the expertise and tools needed to fulfill our customers&rsquo; management and technical requirements in the intelligence, defense, homeland security and commercial market space.</div>
<div></div><div>Our customers&rsquo; and Syntelligent&rsquo;s success are built upon the core values of People First, Integrity &amp; Accountability, Mission Driven, Community Focus and Team Oriented.</div>
<h2 class="jobSectionHeader">Responsibilities</h2>
<div>Syntelligent is seeking a Data Engineer to support a Government Customer</div>
<div></div><div>Location: Nebraska Avenue Complex / 3801 Nebraska Ave NW, Washington, D.C.</div>
<div>Shift: Day</div>
<div>Anticipated Salary Range: $160,000-170,000</div>
<div>Status: Full-Time/ On-site</div>
<div>Opening Type: Immediate</div>
<div>Number of Openings: 1</div>
<div></div><div>Duties will include:</div>
<div></div><div><div>As a Data Engineer, you will be required to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data. You will work with key business stakeholders, IT experts, and subject-matter experts to plan and deliver optimal data solutions. You will create, maintain, and optimize data pipelines as workloads move from development to production for specific use cases to ensure seamless data flow for the use case. You will perform technical and non-technical analyses on project issues and help to ensure technical implementations follow quality assurance metrics. You will analyze data and systems architecture, create designs, and implement information systems solutions.</div>
<div></div><div>Duties:</div>
<ul><li>Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.</li>
<li>Develop and design data pipelines to support an end-to-end solution.</li>
<li>Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes).</li>
<li>Integrate data pipelines with AWS cloud services to extract meaningful insights.</li>
<li>Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues.</li>
<li>Design and develop robust and functional dataflows to support raw data and expected data.</li>
<li>Provide Tier 3 technical support for deployed applications and dataflows.</li>
<li>Define and communicate a clear product vision for our client&rsquo;s software products, aligning with user needs and business objectives.</li>
<li>Create and manage product roadmaps that reflect both innovation and growth strategies.</li>
<li>Partner with a government product owner and a product team of 7-8 FTEs.</li>
<li>Collaborate with the rest of data engineering team to design and launch new features.
</li><li>Coordinate and document dataflows, capabilities, etc.</li>
<li>Occasionally (as needed) support to off-hours deployment such as evening or weekends.
</li></ul><div>Qualifications:</div>
<ul><li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>Expertise in distributed computing frameworks to handle large-scale data processing.
</li><li>Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments.</li>
<li>Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL.</li>
<li>Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies.</li>
<li>Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka.</li>
<li>Familiar with Linux/Unix server environments.
</li><li>Experience with Agile development methodology.</li>
<li>Publishing and/or presenting design reports.</li>
<li>Coordinating with other team members to reach project milestones and deadlines.</li>
<li>Working knowledge with Collaboration tools, such as, Jira and Confluence.</li>
</ul>
<div></div><div>Preferred Qualifications:</div>
<ul><li>Master&rsquo;s degree or equivalent experience in a related field.</li>
<li>Familiarity and experience with the Intelligence Community (IC), and the intel cycle.</li>
<li>Familiarity and experience with the Department of Homeland Security (DHS).</li>
<li>Direct Experience with DHS and Intelligence Community (IC) component's data architectures and environments (IC-GovCloud experience preferred).</li>
<li>Experience with cloud message APIs and usage of push notifications.</li>
<li>Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security.</li>
<li>Working knowledge with public keys and digital certificates.
</li><li>Experience with DevOps environments.
</li><li>Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications.
</li><li>Experience with cloud message APIs and usage of push notifications.
</li><li>Specialization in Object Oriented Programming languages, scripting, and databases.
</li></ul></div><div>Clearance: TS/SCI</div>
<div></div><div>Certification Requirement: none</div>
<div></div><div>Physical Requirements: Must be able to sit/stand at a desk for long-periods and must be able to lift 20 pounds occasionally.</div>
<div></div><div>Mental Requirements: Must be able to multi-task and rapidly change priorities with limited notice.</div>
<div></div><h2 class="jobSectionHeader">Online applications, please.</h2>
<div>When we review candidates' information, we are looking for the best matches for the position based on the qualifications listed in the job posting. If your skills and experience appear to match an open position, a recruitment services professional or a hiring manager may contact you.</div>
<div></div><div>Syntelligent Analytic Solutions, LLC is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of the company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation and gender identity or expression, national origin or protected veteran status and will not be discriminated against on the basis of disability. If you are a qualified disabled veteran or individual with a disability and need reasonable accommodation to use or access our online system, please contact our Human Resources at 540‑736‑4570.</div></div>

Arbor

<div>
 
 About Arbor
 
 
 
 Arbor is building an intelligent electricity marketplace to power an abundant electric future. As AI data centers drive a surge in electricity demand, millions of homes and businesses remain trapped with 20th century monopoly interfaces, overpaying by billions while cheap renewable energy goes to waste. Our AI-powered platform aggregates users to unlock wholesale pricing, automatically switches between the best rates, and optimizes usage to align with prices in real-time&mdash;delivering the same market advantages that were previously exclusive to Fortune 500 companies. We've raised over $20 million from leading investors and have saved over $12 million for more than 100,000 homes and businesses.
 
 
 
 The Opportunity
 
 We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and the insights that drive pricing decisions, marketplace performance, and customer outcomes. Our data stack is modern, consolidated, and still maturing &mdash; which means you'll have real ownership over how it evolves, not just tickets to close.
 
 
 This is a high-impact, high-ownership role on a lean team. We move fast, and we expect you to bring the same AI-first development mindset we apply across the entire engineering organization.
 
 
 
 What You'll Do
 
 
 
 Build and maintain our data pipeline infrastructure, spanning ingestion through Fivetran and custom pipelines from our GCP production systems into Snowflake. You'll own our dbt transformation layer end-to-end &mdash; modeling energy market data, customer lifecycle events, marketplace results, and utility rate feeds into clean, reliable, and well-documented data assets.
 
 
 You'll partner closely with engineering, operations, and leadership to deliver analytics that directly inform business decisions &mdash; rate monitoring, supplier pricing trends, customer switching patterns, and marketplace performance. You'll work in Hex to build and maintain dashboards that surface actionable intelligence for non-technical stakeholders, and you'll help define data contracts and schema standards that make our Snowflake environment trustworthy as we scale.
 
 
 You'll also play a meaningful role in shaping how we use AI in our data workflows &mdash; whether that's automating data quality monitoring, accelerating development with AI-assisted SQL and Python, or surfacing anomalies in complex regulatory data feeds.
 
 
 
 What You Bring
 
 
 
 3&ndash;6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech, marketplace, or similar).
 
 
 Strong dbt fundamentals &mdash; you know how to design models that are maintainable, not just functional. You think about testing, documentation, and downstream consumers as part of the job, not afterthoughts. Solid SQL is a given; Python for pipeline development or data quality tooling is a plus.
 
 
 Hands-on experience with Snowflake, including schema design, query performance, and understanding the cost/performance tradeoffs of how data is structured and accessed. Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our infrastructure footprint.
 
 
 Experience building dashboards for business stakeholders in tools like Hex, Looker, or similar. You know the difference between a dashboard that gets used and one that doesn't.
 
 
 Energy markets or regulated industry experience is not required, but genuine curiosity about how electricity pricing, competitive markets, and the grid work will make this role more interesting to you.
 
 
 An AI-native approach to your own productivity &mdash; you're actively using AI tools to accelerate development and aren't waiting for someone to tell you to start.
 
 
 
 Compensation &amp; Work Setup
 
 Competitive salary + meaningful equity + benefits. We're flexible on location but value regular in-person collaboration with the team.
 
 
</div>

Quintrix, by Mindlance

<div>
 
 
 Job Title: Junior Data Engineer
 
 
 
 
 Location: Washington, DC
 
 
 
 
 Duration: 12-15 months (Possibilities of extension/conversion)
 
 
 
 
 USC/GC Considered.
 
 
 
 
 Highly preferring Local candidates.
 
 
 
 
 
 
 
 Overview:
 
 
 
 Quintrix is on the lookout for professionals who are open to upskill to the exciting world of Data Engineering. This opportunity is for our direct client in Banking/financial Services and includes a 4 week Instructor-led online pre-employment training program (15 hours per week), conveniently scheduled after business hours. Participants who successfully complete the program will receive a $500 stipend. This is a fantastic chance to gain in demand skills, hands-on experience, and a pathway into a dynamic tech role.
 
 
 
 
 
 
 Prerequisites:
 
 
 
 &bull; Bachelor&rsquo;s Degree in Computer Science, Data Science, Information Technology, Engineering, or related fields.
 
 
 &bull; Hands-on experience Python, Spark, SQL, etc.
 
 
 &bull; Familiar with ETL/ELT concepts and database concepts.
 
 
 &bull; Exposure to Cloud (AWS, GCP, Azure).
 
 
 &bull; Knowledge of CI/CD for data engineering.
 
 
 &bull; Strong problem-solving skills and eagerness to learn.
 
 
 &bull; Good communication and teamwork abilities.
 
 
 
 
 
 
 Selection Process &amp; Training:
 
 
 
 &bull; Online assessment and technical interview by Quintrix.
 
 
 &bull; Client Interview(s).
 
 
 &bull; 4 weeks of pre-employment online instructor-led training.
 
 
 
 
 
 
 Stipend paid during Training:
 
 
 
 &bull; $500.
 
 
 
 
 
 
 Who is Quintrix?
 
 
 
 Quintrix is on a mission to help individuals develop their technology talent. We have helped hundreds of candidate&rsquo;s kick start their careers in tech. You will be &ldquo;paid-to-learn&rdquo;, qualifying you for a high paying tech job with one of our top employers. To learn more about our candidate experience go to www.quintrixsolutions.com/candidates.
 
</div>

Junior Data Engineer

Fusion Technology-LLC

<div>Who is Fusion Technology?
Fusion Technology is a performance-driven HUBZone Small Business concern residing in the heart of the beautiful mountainsides of West Virginia, steps away from the Federal Bureau of Investigation's Criminal Justice Information Services Division's Headquarters. Founded in 2007 by an Engineer-by-trade, Fusion Technology dedicates our valuable resources to providing comprehensive IT services and solutions to mission-critical US Government programs and the Intel Community.
Position Location: Washington, DC (on-site)
Who are you?
Security-cleared Professional: You have made it through the process of receiving a United States government security clearance &ndash; congratulations! We know you are a trustworthy intel professional because you have a Top Secret Clearance.
Education is important to us: You have a Bachelor's Degree in a related field.
Experience is important to us:<ul><li>
2-3 years of directly relevant experience related to data engineering</li><li>
Experience with BI tools such as MicroStrategy and ThoughtSpot</li><li>
Experience maintaining security in BI tools</li><li>
Experience with installing, configuring, and performing upgrades</li></ul>
What you'll do:
The Data Engineer will be responsible for the following:
<ul><li>Manages and coordinates with internal and external parties the collection, normalization, analysis, and compilation of data sets from multiple platforms.
</li><li>Analyzes, stores, and processes raw data information and programs.
</li><li>Investigates and determines root causes of problems, corrects errors, and ensures data quality.
</li><li>Implements complex data projects and visualizes large sets of data to turn information into insights using multiple platforms.
</li><li>Can work with multiple business owners and clients to meet mission needs.</li></ul>
What matters to you matters to us.
Fusion Technology values its employees and works hard to ensure proper care for them and their families. We desire to compensate employees in a competitive, motivational, fair, and equitable way with other employers in the marketplace. Salary is only one component of employee compensation but an integral part of recruiting and retaining qualified employees. However, at Fusion Technology, we take a comprehensive approach and consider each employee's needs to tailor a compensation plan that provides financial security and peace of mind. Our competitive package includes a best-in-class matching 401K program, a comprehensive healthcare plan through Cigna, a competitive employer contribution to a health savings account, vision and dental plans, life insurance, short- and long-term disability, and personal leave, in addition to paid certifications and training.
Fusion Technology LLC is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce.Qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.</div>

Mid-Level Data Engineer

Press Ganey

<div>Company Description
Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries&mdash;a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare &ndash;perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world&rsquo;s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.<ul><li>
Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.</li><li>
Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.</li><li>
Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.</li><li>
Dare to innovate: We challenge the status quo with creativity and innovation as our true north.</li><li>
Better together: We check our egos at the door. We work together, so we win together.</li></ul>
Press Ganey currently has an exciting opportunity for a Senior Software Engineer. This role will support the Clinical Solutions products.
Duties &amp; Responsibilities:<ul><li>
Design and implement software front end application enhancements and bug fixes given general instructions</li><li>
Participates in iteration and release planning</li><li>
Adheres to core design and testing principles</li><li>
Understands and interprets detailed technical specifications</li><li>
Follows and updates the design specifications as needed</li><li>
Learns and follow standards, processes and procedures</li><li>
Authors supporting documentation</li><li>
Prepares own work for inclusion in the release/deployment management process</li><li>
Participates in peer technical reviews</li><li>
Troubleshoots identified problems and provides support and follow-up for issues</li><li>
Completes assigned design tasks within the time allotted</li></ul>
Mentors Software Developers<ul><li>
Responsible for the quality of work that the team members perform.</li><li>
Coordinates with other IT and business teams.</li><li>
Trains other developers on standards, policies, and procedures.</li></ul>
Supports Software Applications<ul><li>
Coordinates issue resolution process</li><li>
Provides support and follow-up for issues.</li></ul>
Qualifications:<ul><li>
Strong knowledge of SQL, specifically with Microsoft SQL Server</li><li>
AI-first driven planning, development, and testing; familiar with recent models, tools, and techniques</li><li>
Knowledge of basic statistics</li><li>
Strong software engineering skills on the .Net Core platform</li><li>
Web front-end technologies including Angular/React, JavaScript and CSS</li><li>
Experience in JSON and API development methodologies.</li><li>
Experience in containerization(dockers/Kubernetes) preferred</li><li>
Experience in CI/CD preferred</li><li>
GitLab experience highly desirable</li><li>
Experience with test driven development</li><li>
Excellent communication (written and verbal) and problem-solving skills</li><li>
Knowledge of agile methodologies and experience working in an agile environment.</li><li>
Thorough understanding of data structures and object-oriented techniques</li><li>
Project task multi-tasking and prioritization, Individual time management</li></ul>
Experience:<ul><li>
Bachelor&rsquo;s Degree or comparable broad-based work experience is required. Advance training or certification in software design/development is an advantage.</li><li>
6+ years experience as a Data Engineer or Database Administrator (DBA)</li><li>
6+ years experience in software development</li><li>
Code reviews and code review participation</li><li>
Ability to communicate best practice solutions to other developers</li><li>
Ability to present technical ideas and work with development teams to identify best practice solutions</li></ul>
Don&rsquo;t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Additional Information for US based jobs:
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice &ndash; Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $100,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/</div>

Senior Software Engineer/Data Engineer

GEICO

<div>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
About The Team 
Our Financial Data Integrity Team is at the heart of ensuring trust and accuracy in our organization&rsquo;s financial ecosystem. We design, implement, and manage the substantiation platform that safeguards the integrity of financial data across global systems, enabling compliance, informed decision-making, and operational excellence.
What you will do
As a Senior Data Engineer within our Substantiation Platform, you will play an important role in building and managing our critical data reconciliation systems. Your technical expertise will contribute to ensuring the accuracy, reliability, and scalability of our financial data infrastructure.
Here's what you can expect to do:<ul><li>Contribute to the design and implementation of high-performance, scalable reconciliation systems capable of processing billions of transactions daily</li><li>Participate in making technical decisions that balance immediate business needs with long-term scalability and maintainability</li><li>Work with cross-functional teams to integrate our platform with various financial systems, ERPs, and data warehouses</li><li>Develop core components of our substantiation platform, writing high-quality, efficient code</li><li>Follow and help improve best practices for code quality, testing, and deployment</li><li>Collaborate with Finance, Compliance, and Business Intelligence teams to implement technical solutions for complex business requirements</li><li>Work with Product Management to implement features that deliver maximum impact</li><li>Explain technical concepts to both technical and non-technical stakeholders</li></ul>
Minimum Requirements:<ul><li>
Bachelor&rsquo;s degree in data science, computer science, economics or related field</li><li>
5+ years of experience in Data and/or Software engineering</li><li>
5+ years of experience in one or more relevant backend programming languages, such as Java and/or Go</li><li>
2+ years of experience building products in modern architecture (SOA &amp; microservices) and extensible REST APIs</li><li>
3+ years of experience with tools like Git, Docker, Kubernetes, and CI/CD pipelines</li><li>
3+ years of experience with cloud platforms like AWS, Azure, or Google Cloud</li><li>
Experience in SQL, NoSQL, relational database design and efficient methods for data retrieval and preparation at scale</li><li>
Proven ability to collect and process raw data at scale, including scripting, API integration, and SQL querying</li><li>
Experience with data modeling, ETL processes and query languages (Python, PySpark, and SQL) with data warehouse</li><li>
Experience with Agile development practices</li></ul>
*This is a Hybrid position working out of either of the below offices*
Dallas, TX
Bethesda, MD
Be Part of Our Journey 
If you are a passionate technologist looking to make a difference, GEICO Tech is the place for you. Join us and be part of a team that is shaping the future of insurance technology. Together, we will create innovative solutions that improve lives and transform the industry.
#LI-MK1 
Annual Salary
$100,000.00 - $215,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Senior Data Engineer - Substantiation Platform Team *Hybrid*

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Senior Data Engineer - Substantiation Platform Team Hybrid