Data engineer jobs in Severn, MD - 6,532 jobs

Who We Are: We're powering a cleaner, brighter future. Exelon is leading the energy transformation, and we're calling all problem solvers, innovators, community builders and change makers. Work with us to deliver solutions that make our diverse cities and communities stronger, healthier and more resilient. We're powered by purpose-driven people like you who believe in being inclusive and creative, and value safety, innovation, integrity and community service. We are a Fortune 200 company, 19,000 colleagues strong serving more than 10 million customers at six energy companies -- Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco). In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. And since we know transforming the future of energy is hard work, we provide competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career. Are you in? Primary Purpose: Develops studies, plans, criteria, specifications, calculations, evaluations, design documents, performance assessments, integrated systems analysis, cost estimates, budgets, associated with the planning, design, licensing, construction, operation, and maintenance of Exelon's electric generation, transmission, distribution, gas and telecommunication facilities/systems under the guidance of an experienced engineer. Provides consultation and recommendations to the Company within and to other business units and/or customers as a result of studying company or customer-owned systems, processes, equipment, vehicles or facilities under an experienced engineer. Reviews financial data from budget and actual costs of projects under the guidance of an experienced engineer. Position may be required to work extended hours for coverage during storms or other energy delivery emergencies. Note: This is a hybrid position (in-office with remote flexibility). Employees are required to be in office at least three days per week (Tuesday, Wednesday, and Thursday). This position must sit out of our Philadelphia -PA, Kennett Square - PA, Washington - DC or Newark - DE office. This position is not eligible for relocation assistance. Primary Duties: Performs engineering assignments while exercising independent discretion under the guidance of an experienced engineer. (e.g. Collect data, perform complex analysis, interpret results, draw conclusions, and clearly present a recommendation to management) Performs engineering tasks associated with large projects or a number of small projects. (e.g. Analyze and interpret the results of complex power flows and perform complex engineering tests, and analyze non-specific and ambiguous results) May direct the engineering tasks associated with a large project or a number of small projects (e.g. Verify and validate studies, blueprints, or designs against accepted engineering principles and practices. Design high voltage transmission and distribution circuits, meeting all engineering standards and criteria) Participates on teams and may lead teams. Job Scope: Modeling & Scenario Planning develops and maintains system models required to run studies on the transmission system to ensure adherence to reliability criteria. This includes, but is not limited to, running thermal and voltage steady state powerflow studies and maintaining modeling data (connectivity, impedances, ratings, contingency information, etc.). As part of that task, the Team analyzes the risk on the transmission system both in the short term and future years, which provides critical information to anticipate unidentified issues and prioritize existing risks. The successful candidate will perform Transmission System Modeling and Power Flow Studies/Analysis of the Exelon transmission system. These efforts will include: Developing models and performing studies using available tools such as PSS/E and TARA In coordination with PJM, ensuring that Exelon complies with applicable NERC Standards and PJM Operations/Planning Manuals Leveraging experience performing power flow analysis and validation of study results Demonstrating an understanding of OpCo Transmission System(s), including Substation and Protection Design and Technical Standards Utilizing experience with Transmission modeling characteristics such as Ratings and Impedances to ensure proper results Providing Innovative Solutions for enhancing Planning Techniques and integrating New Technologies Minimum Qualifications: Bachelor of Science degree in Engineering 2 - 4 years of professional engineering experience Ability to analyze and interpret complex electrical and mechanical systems. Knowledge and ability to apply problem solving approaches and engineering theory. Knowledge of engineering designs, principles and practices. General knowledge and experience with regulations, guides, standards, codes, methods, and practices necessary to perform assignments for a specific discipline, various installations, or services Preferred Qualifications: Engineer in Training License Strong written and oral communication/presentation skills, report generation & technical writing skills Interpersonal skills & the ability to collaborate with peers and managers Time, project management and multi-tasking skills Ability to analyze industry wide trends and implement enhancements A working knowledge of analysis software packages such as CYMDIST, PSS\E, TARA, Python, PSCAD, MATLAB, etc. to perform and analyze load flow modeling, contingency studies, and transfer analysis Benefits: Annual salary will vary based on a candidate's skills, qualifications, experience, and other factors: $84,800.00/Yr. - $116,600.00/Yr. Annual Bonus for eligible positions: 10% 401(k) match and annual company contribution Medical, dental and vision insurance Life and disability insurance Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave Employee Assistance Program and resources for mental and emotional support Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement Referral bonus program And much more Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.

MANTECH seeks a motivated, career and customer-oriented Senior Software Engineer to join our team in Alexandria, VA. As part of the position, you will act as a Software Engineer designing and implementing services and components for AI applications. Responsibilities include but are not limited to: Develops, implements, and maintains full-stack software solutions for AI-enabled applications. Works closely with the Software Architect to understand project requirements and translate them into technical specifications. Develops and integrates AI and ML capabilities on a cloud-hosted data platform that supports significant market adoption, high performance, and strict access control and governance. Designs and builds prototype and proof of concept User Interfaces using modern UX/UI standards. Stays current with advancements in AI, machine learning, and software engineering, incorporating best practices into the development process. Performs system optimization, performance tuning and assists in capacity planning. Performs proactive analysis of potential issues, risks and roadblocks during system implementation and operations. Documents software designs, code, and processes to ensure maintainability, scalability, and knowledge sharing among team members. Participates in code reviews and provides constructive feedback to peers to ensure code quality, adherence to coding standards, and knowledge transfer within the team. Minimum Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. 10 or more years (7 with Master's) of experience in software development, systems integration, data management, or related fields. Experience with configuring and developing in a major public cloud system such as Oracle, Azure, AWS, or GCP. Experience in programming and/or scripting languages such as JavaScript, Python, C++, or Java. Experience with software development frameworks and tools (e.g., TensorFlow, PyTorch, Flask, Docker). Strong understanding of software engineering principles, including design patterns, data structures, and algorithms. Experience with DevOps tools and techniques for building integrations with external systems including Infrastructure as Code (IaC). Example tools include Jenkins, GitLab, Ansible, Terraform, AWS Cloud Formation Templates Preferred Qualifications: Master's degree in Computer Science, Information Technology, or a related field. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Experience working with data ingest and transformation. Ability to work effectively in a team-oriented environment. Clearance Requirements: Must possess a current and active TS/SCI Physical Requirements: The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose‑driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. Position Summary Aetna, a CVS Health company, is the nation's premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive, and puts the consumer at the center of their care. Aetna's Medicare Stars Team is growing and expanding! This is an exciting opportunity to join a high‑performing, collaborative team as a Data Scientist. The role focuses on leveraging the Stars Data Ecosystem for Business Analytics, improving understanding of business patterns, predicting future trends, and implementing effective solutions to various challenges. Key Responsibilities Design and implement unified data pipelines in Snowflake that combine structured tables, semi‑structured data (JSON/Parquet), and large collections of documents (PDF, DOCX, text). Build agentic document analytics workflows: large‑scale document ingestion, text extraction, cleaning, chunking, embeddings, vector store creation, and efficient retrieval for analytic queries. Implement Natural Language Query interfaces that translate user text prompts into analytic queries or retrieval flows and return explainable results. Integrate Snowflake with LLMs (OpenAI or equivalent) for summarization, question‑answering, classification, and code‑generation using External Functions, Snowpark, and secure API patterns. Create performant retrieval‑augmented generation (RAG) architectures that leverage Snowflake‑stored embeddings and external or internal vector indexes. Author Snowpark/Python/SQL transformations, Streams & Tasks, and job orchestration to enable near‑real‑time and batch analytical workloads. Implement data modeling and governance patterns within Snowflake - schemas, role‑based access control, masking, lineage, and metadata for analytics and compliance. Partner with product, ML/AI, BI, and engineering teams to translate business requirements into robust production‑ready solutions. Build monitoring, observability, and cost controls for compute, storage, and API usage related to document analytics and LLM integration. Produce technical documentation, runbooks, and clear explanations of model/LLM behavior and limitations to non‑technical stakeholders. Required Qualifications - Technical Skills Statistical Analysis - proficiency in R, SAS, and Python. Data Visualization - compelling visualizations using Tableau, Power BI, and D3.js. Database Management - knowledge of SQL and NoSQL databases. Programming - strong skills in Python, Java, and C++. Expertise in unified data pipelines, agentic document analytics, NLQ interfaces, Snowflake‑LLM integration, RAG architectures, Snowpark transformations, data governance, production‑ready solutions, monitoring, observability, cost controls, and documentation. Analytical Skills Critical Thinking - approach problems from multiple perspectives. Quantitative Analysis - interpret and manipulate data effectively. Attention to Detail - ensure accuracy in data analysis and model development. Interpersonal Skills Communication - excellent verbal and written communication. Team Collaboration - work collaboratively with diverse teams. Leadership - lead projects and mentor junior team members. Preferred Qualifications Relevant experience in data analysis, machine learning, and business intelligence. Professional certifications in data science, machine learning, or business analytics are beneficial. Education A bachelor's degree in Statistics, Mathematics, Computer Science, or Engineering. Advanced degrees (Master's or Ph.D.) are highly desirable. Anticipated Weekly Hours - 40 Time Type - Full time Pay Range - $64,890.00 - $222,480.00 Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No‑cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. Application window for this opening will close on: 01/24/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr

Your growth matters to us - explore our career development opportunities. BE EMPOWERED TO SUCCEED Connect with others in our people-first culture and enhance our collective ingenuity. SUPPORT YOUR WELLBEING Learn how we'll support you as you pursue a balanced, fulfilling life. YOUR CANDIDATE JOURNEY Discover what to expect during your journey as a candidate with us. As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 4+ years of experience with network development or targeting 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 3+ years of experience with analyzing structured and unstructured data sources Experience with statistical and general-purpose programming languages for data analysis Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sources Experience with natural language processing, text mining, or machine learning techniques Experience implementing automation in processing, presenting, or manipulating data Knowledge of EUCOM AOR Active TS/SCI clearance; willingness to take a polygraph exam Nice If You Have: 4+ years of experience as a strategic all-source intelligence analyst 3+ years of experience with targeting or network development analysis and US government all-source analysis production within the IC or Combatant Command environments 3+ years of experience using high-side tools, including Analyst Notebook, ArcGIS, Joint Enterprise Modeling Analytic (JEMA), DataXplorer, and VOLTRON Experience working with SIGINT and HUMINT Experience in the development of algorithms leveraging Python and SQL Experience with developing solutions incorporating Large Language Models Experience with Python data science and visualization packages Experience with Excel VBA Knowledge of ICD 203 TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 4+ years of experience with network development or targeting 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 3+ years of experience with analyzing structured and unstructured data sources Experience with statistical and general-purpose programming languages for data analysis Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sources Experience with natural language processing, text mining, or machine learning techniques Experience implementing automation in processing, presenting, or manipulating data Knowledge of EUCOM AOR Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree Nice If You Have: 4+ years of experience as a strategic all-source intelligence analyst 3+ years of experience with targeting or network development analysis and US government all-source analysis production within the IC or Combatant Command environments 3+ years of experience using high-side tools, including Analyst Notebook, ArcGIS, Joint Enterprise Modeling Analytic (JEMA), DataXplorer, and VOLTRON Experience working with SIGINT and HUMINT Experience in the development of algorithms leveraging Python and SQL Experience with developing solutions incorporating Large Language Models Experience with Python data science and visualization packages Experience with Excel VBA Knowledge of ICD 203 TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Are you a TS/SCI cleared Data Scientist that likes to perform research-level data science/analytics? Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. Our work is conducted primarily on-site at our client location in Bethesda, MD. Fun stuff you will do: Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations. Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience. Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team. Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement To be successful in this role you need the following (required): B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master's degree or equivalent graduate degree including certificate-based advanced training courses 4+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. 2+ years of experience required with a Master's Must have an active TS/SCI clearance and must be able to obtain and maintain a Polygraph Proficiency in one or more scripting languages such as Python Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift. Experience with information retrieval and search, e.g. Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL) Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms Previous experience performing Data Science or Research in data analytics or big data, i.e. data that won't fit in memory. Track record of active learning and creative problem solving Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions. Familiarity using git or other version control technologies Our Data Scientists have opportunities to own their work and complete tasks on time with little/no supervision You will wow us even more if you have some of these skills: A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes. Significant experience dealing with at least two of the following data classes: forensic media (i.e. DOMEX); open source, publicly available information (PAI); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics Experience with Knowledge Graphs and KG tech such as neo4j or graph ML. Experience developing predictive algorithms, image classifiers, object detectors, and others. Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing. Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner. Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S) Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs, etc. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $85,150.00 - $153,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. All 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. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr

Employment Type Full time Department Product Deadline to Apply December 22, 2025 at 3:00 AM EST About Us Chainlink Labs is one of the primary contributing developers of Chainlink, the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance. The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, Decentralized Finance (DeFi), payments, stablecoins, and more. Many of the world's largest financial services institutions have also adopted Chainlink's standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, ANZ, Aave, GMX, Lido, and many others. Chainlink Labs is a world-class team of over 600 developers, researchers, and capital markets experts, and has ranked among Fortune's Best Workplaces in Technology, Fortune's Best Medium Workplace, and the Top 100 Global Most Loved Workplaces. Learn more at chain.link or chainlinklabs.com. About The Role We are looking for a data scientist who understands financial markets to build real-time pricing systems that produce high-integrity references prices across thousands of assets. As a member of this team, you'll design the models and detection logic that keep those prices trustworthy under stress. Your Impact You'll build real-time pricing systems. You'll model complex, adversarial markets to understand where risk originates. When incidents occur, you'll lead the data forensics (pre/post-trade analysis, benchmark vs. pool price deltas, liquidity gaps), quantify user impact, and ship fixes that measurably reduce recurrence. Requirements Working knowledge of core DeFi primitives and how they generate on-chain signals. Oracle literacy: how on/off-chain price feeds are constructed (CEX/DEX sourcing, outlier trimming, medians/TWAPs), and common failure modes (staleness, rubber-banding/instability, flatlining, thin-liquidity manipulation, flash-loan driven spikes). On-chain data fluency: reading EVM logs/traces, ABIs and token standards (ERC-20/721/1155), identifying swaps/transfers/liquidations in event streams, and understanding subgraph/indexing patterns. Blockchain fundamentals that impact alerting: block production/finality/reorgs, mempool dynamics, gas markets, and chain-specific latency characteristics that influence MTTD/MTTR and false positives. Market microstructure awareness: liquidity depth, slippage, pool imbalance, funding rates/open interest (for perps), and how these drive benchmark construction and deviation alerts. Preferred Requirements Hands-on with Chainlink data products (Data Feeds/Mercury/Streams/CCIP) and oracle attack surfaces; prior incident response or post-mortem work on price/peg/latency events. Ability to read simple smart contracts (Solidity/Rust) to validate event schemas; experience operating against major RPC providers and with indexing stacks (subgraphs, BigQuery public chains). Experience designing anomaly detection for financial time series and standing up SLO-driven alerting with Prometheus/Alertmanager/Grafana/Flink + on-call tools (PagerDuty). Python/SQL with web3 libraries (web3.py/ethers), ABI decoders; Dune/Flipside/Covalent/BigQuery; Kafka/stream processing. Portfolio showing dashboards/alerts for protocol health, price benchmarks vs. pool prices, and data-quality detectors (staleness/flatline/latency). All roles with Chainlink Labs are global and remote-based. Unless otherwise stated, we ask that you try to overlap some working hours with Eastern Standard Time (EST). We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date. Commitment to Equal Opportunity Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this form. Global Data Privacy Notice for Job Candidates and Applicants Information collected and processed as part of your Chainlink Labs Careers profile, and any job applications you choose to submit is subject to our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. #J-18808-Ljbffr

A federal IT services provider is seeking a skilled Data Scientist to develop complex data models for workforce planning strategies. The role involves using machine learning and deep learning techniques to derive insights from large data sets. Ideal candidates should have over 3 years of experience in Data Science or Analytics, strong mathematical capabilities, and proficiency in programming languages such as Python. This position requires a collaborative mindset, as you will work closely with diverse teams to drive impactful data solutions. #J-18808-Ljbffr

TLA is seeking an experienced and curious Data Scientist to join our team and transform complex data into actionable insights that drive strategic business decisions. The ideal candidate will combine expertise in statistics, programming, and machine learning to solve real-world problems and enable smarter business processes through analytics. You will work cross-functionally to define requirements, build predictive models, and communicate findings to technical and non-technical stakeholders. Key Responsibilities Data Collection & Preparation: Collect, clean, and preprocess large, complex datasets from various internal and external sources to ensure data integrity and usability. Exploratory Data Analysis (EDA): Perform in-depth exploratory data analysis to identify patterns, trends, anomalies, and uncover hidden opportunities. Model Development & Implementation: Design, develop, test, and validate statistical and machine learning models (e.g., classification, regression, clustering) to forecast trends, optimize operations, and improve product offerings. Data Storytelling & Communication: Translate complex technical findings and data insights into clear, compelling narratives and visualizations (reports, dashboards, presentations) for key decision-makers across the organization. Collaboration: Partner with data engineers, software developers, and business stakeholders (marketing, product, operations) to implement data-driven solutions and integrate models into production environments. Experimentation: Design and execute A/B testing and other experiments to measure the effectiveness of new initiatives and continuously improve model performance. Innovation: Stay up-to-date with the latest tools, technologies, and methodologies in the data science field, including AI and large language models (LLMs), to drive innovation. Qualifications Education: Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related discipline. Experience: 3+ years of hands‑on industry experience in a data science or machine learning role. Programming Languages: Strong proficiency in Python or R for data analysis and statistical modeling, and advanced knowledge of SQL for data extraction and manipulation. Machine Learning: Practical experience applying a range of machine learning techniques and algorithms (e.g., scikit‑learn, TensorFlow, PyTorch). Data Visualization: Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) to present data insights effectively. Analytical Skills: Strong analytical and problem‑solving abilities, with an emphasis on critical thinking and the scientific method. Communication: Excellent verbal and written communication skills with the ability to explain complex data science concepts to non‑technical audiences. Preferred Certifications Microsoft Certified: Azure Data Scientist Associate IBM Data Science Professional Certificate Certified Analytics Professional (CAP) AWS Certified Machine Learning - Specialty TensorFlow Developer Certificate At TLA, we build solutions that matter-supporting national security missions through technology innovation, collaboration, and excellence. Our team is passionate about leveraging modern technologies to deliver impactful, mission‑focused outcomes for our customers. We offer a competitive and comprehensive benefits package including: Competitive salary and performance bonuses Medical, dental, and vision coverage Paid time off and federal holidays 401(k) with company match Education and certification reimbursement Training and professional development opportunities Employee referral bonuses and team events TLA is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr

A leading tech and services firm in Washington, D.C. is seeking a Clinical Data Modeler to support the Department of Health and Human Services. This role demands experience in AI/ML, programming skills in Python/R, and strong organizational abilities. Key responsibilities include developing plans for medical countermeasures and collaborating across teams for effective project execution. Competitive salary range of $70k to $120k annually offered, with hybrid work opportunities. #J-18808-Ljbffr

Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted. SPA provides timely, objective, analytic assessments that integrate technical, operational, programmatic, policy and business analysis to a variety of Government acquisition offices. These offices span throughout the Department of Defense to include major defense programs and new weapon technology development programs. Analysts and Engineers supporting these programs would continue SPA's decades of support to high-profile, major acquisition programs. At SPA, we are committed to our nation's Military and Veterans through our partnership with Hiring Our Heroes, providing an opportunity for transitioning service members to gain valuable civilian work experience through an individual fellowship. The fellowship is open to all ranks and experience levels. During this program, the service member will be on-site performing an individual externship in a mid to mid to senior-level career-type role. The service member will be receiving on the job training, supporting a work schedule equivalent to 32 hours per week. The program provides a comprehensive fellowship experience including professional development, networking with leadership, and training specifically focused on our leadership principles, company history, stakeholder engagement, product and service overview, and core job responsibilities. Our goal is to provide qualified individuals with a full-time offer at the conclusion of the Skillbridge Externship program. Responsibilities The successful candidate will be expected to shadow and provide advanced analytical support to SPA customers in the national security and homeland defense mission spaces, applying rational, systematic, science-based techniques, and critical thinking to help inform and improve decision-making. Candidates will be expected to apply principles of mathematics and statistics, computer science, software development, and the latest technologies to design and implement an analytical infrastructure and tools, workflow processes, and complex data visualizations. The candidate may be required to: Design and execute analytical methodologies leveraging modern tools accented with personal innovation Use a variety of analytic tools and techniques to evaluate data and recommend actions to overcome challenges Effectively communicate data and analytic related topics to technical and non-technical audiences Develop or adopt data standards and frameworks to collect, integrate and link, and manage data Implement data exploration techniques, analytical methods, operations research, and modeling and simulation tools to support program execution Develop, deploy, manage, and document models and analytic methods Create software code to extract and transform data for use in analysis Develop automated analytic algorithms to assist with data management Develop plans of action and timetables in order to meet established deadlines Qualifications Required Qualifications (multiple levels needed): Experience in assisting with the development of professional reports to impact decision-making and a current Secret clearance, as well as Must be an active participant in the Hiring our Heroes Skillbridge Fellowship to be considered for the Externship. Junior: Bachelor's degree in math, physical or computer science, data science, analytics, or related STEM field Up to 3 years of experience conducting data analysis and assessment and presenting results Mid: Bachelor's degree in math, physical or computer science, data science, analytics or related STEM field 4-10 years of experience conducting data analysis and assessment and presenting results Senior: Bachelor's degree in math, physical or computer science, data science, analytics or related STEM field 10+ years of experience conducting data analysis and assessment and presenting results Desired Qualifications: Top Secret Clearance Advanced Degree Expertise with at least one programming or query language such as R, Python, SQL, or Cypher Proficiency with relational databases or NoSQL database Previous experience working with a government agency Experience using methodologies that support technology and investment decisions to improve national security mission success #J-18808-Ljbffr

An established industry player is seeking a seasoned Machine Learning Engineer to join a dynamic team focused on leveraging AI/ML technology for Federal use cases. In this role, you will collaborate with data scientists and engineers to design and develop innovative machine learning models, analyze large datasets, and optimize solutions for performance and scalability. This position offers a unique opportunity to contribute to impactful projects while working with cutting-edge technologies in a supportive environment that values your growth and contributions. If you are passionate about data and problem-solving, this role is perfect for you! #J-18808-Ljbffr

Data Scientist Indev is seeking a Data Scientist with 6+ years of experience to support our AI/ML, advanced analytics, and data visualization initiatives. This role will be instrumental in analyzing, visualizing, and communicating data insights that drive key business decisions. The ideal candidate will have strong technical skills in Python, SQL, Tableau, and AWS Cloud, as well as excellent communication and presentation abilities. This is a direct-hire, full-time position with salary and benefits. Indev provides a comprehensive benefits package, including Medical, Dental, Vision, 401k with match, Flexible Spending Account, and Paid Time Off (PTO)-including vacation and holiday pay. Your future duties and responsibilities: Data Analytics and Business Intelligence: Analyze large and complex data sets to uncover insights and support decision-making. Partner with stakeholders to define analytical needs and deliver actionable solutions. Develop and maintain data models to support advanced analytics initiatives. Data Visualization and Reporting: Design and create interactive dashboards and reports using Tableau. Present findings in a clear, concise manner tailored to both technical and non-technical audiences. Support data storytelling through compelling visualizations that communicate trends and patterns. Data Extraction and Management: Write complex SQL queries for data extraction, transformation, and loading (ETL) tasks. Work with relational databases (e.g., PostgreSQL, MySQL, NoSQL) to support data integrity and consistency. Automate routine data processes using a variety of scripts and tools. (e.g., Python, Airflow, SQL, AWS) Cloud Technology Utilization: Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval. Ability to guide and support cloud modernization of data processes, including advanced AI/ML, automation, and governance technologies. Optimize cloud workflows for data access and analysis efficiency. Collaboration and Communication: Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders. Clearly articulate analytical concepts and results to a wide range of audiences. Contribute to client-facing presentations and written reports. Required qualifications to be successful in this role: Bachelor's Degree in Technology, Business, Mathematics, Computer Science, Information Systems, or other related discipline from an accredited college, university, or academic institution in the United States. (Master's preferred) 6+ years of professional experience in AI/ML, data analysis, visualization, and reporting. Proficiency in Python for data manipulation and automation. Strong experience with SQL and relational databases (e.g., PostgreSQL, MySQL). Proficiency with Tableau for creating dashboards and visual reports. Experience creating automated data workflows, analytics processes, and processing pipelines. Advanced knowledge of data visualization and reporting using a variety of software and tools. Familiarity with AWS Cloud environments and services for data processing and storage. Familiarity with DevOps practices, Agile methodologies, and modern software development environments. Familiarity with the entire software development process from end-to-end. Excellent oral and written communication skills, with the ability to present complex information clearly. Strong problem-solving and analytical thinking skills. Existing and active DHS EOD/clearance (ICE preferred). Additional preferred qualification: Strong knowledge of change management processes and technologies (e.g., GitHub) Experience modeling and analyzing large financial and operational data in cloud environments. Demonstrated experience developing prototypes and proof-of-concept applications or software from end-to-end. Knowledge of federal data governance standards and compliance frameworks. Prior experience supporting federal government clients, especially DHS. Existing and active DHS EOD/clearance (ICE or TSA preferred). Clearance: Existing and active DHS EOD/clearance (ICE preferred). About Us: At Indev, we're not just a company; we're a trailblazing force transforming the way technology solutions shape the future. As a dynamic player in the federal government sector, we're on a mission to empower agencies with cutting-edge, innovative technology solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us. Let's innovate. *************

Basic Qualifications: U.S. Citizenship Required. Must have the ability to obtain / maintain a Public Trust clearance. Bachelor's degree and 8 years of experience or Masters degree and 6 years or Associate's degree and 10 years experience or HS diploma/equivalent and 12 years experience. Proficiency in data modeling, ETL/ELT design, and data integration frameworks. Experience defining enterprise data standards and governance models. Knowledge of SQL, data warehousing, and performance optimization. Experience implementing data security and access control policies (NIST RMF, FISMA, FedRAMP). Understanding of metadata management and data cataloging practices. Preferred Qualifications: Previous experience working with or for the FAA, DOT, or state aviation authorities. Familiarity with data visualization and analytics platforms (Tableau, Power BI, Databricks). Knowledge of AI/ML data pipelines, streaming data, and predictive analytics architectures. Experience applying Zero Trust data principles and data resiliency strategies. Professional certifications such as AWS Data Analytics Specialty, Google Cloud Data Engineer, or CDMP (Certified Data Management Professional). Familiarity with FAA acquisition, AMS standards, and federal data compliance frameworks. Join Peraton in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA's Brand New Air Traffic Control System (BNATCS) contract. As a trusted partner to the Federal Aviation Administration, Peraton helps deliver the systems and services that keep our nation's skies safe and connected. We're looking for innovative professionals who thrive in mission-critical environments and are passionate about shaping the future of air traffic management. This is your chance to make an impact on one of the world's most vital transportation infrastructures, working alongside leaders in aviation, engineering, data science, and systems integration. At Peraton, you won't just support the mission - you'll define it. Join a team dedicated to protecting the safety and integrity of U.S. air travel. Peraton is seeking a Data Architect to join our team of qualified, diverse individuals. The ideal candidate will define data models, governance frameworks, and integration standards to ensure the FAA's data infrastructure supports secure, scalable, and mission‑critical operations. You will ensure that FAA modernization initiatives, safety programs, and infrastructure projects are aligned with the unique operational and cultural needs of Alaska's aviation ecosystem. In this position, you will: Design, develop, and maintain enterprise data architectures, models, and integration frameworks for FAA systems. Define and enforce data governance, quality, and lifecycle management standards. Collaborate with engineers and analysts to ensure data alignment across applications, cloud platforms, and enterprise systems. Lead efforts to migrate and modernize data environments, ensuring scalability, resiliency, and compliance. Establish and maintain data dictionaries, schemas, and metadata repositories. Provide technical guidance and architecture reviews for new and existing FAA programs. Design and implement data pipelines and integration solutions supporting analytics and operational systems. Support the development of data strategies, roadmaps, and enterprise data services aligned with FAA objectives. Ensure data solutions comply with FAA security policies, privacy regulations, and federal IT standards. Communicate architectural decisions, trade-offs, and recommendations to technical and executive stakeholders. Collaborate closely with systems engineers, software developers, cybersecurity professionals, and FAA leadership to architect data solutions that enable smarter decision‑making and enhance aviation safety. Experience preparing audit‑ready architecture documentation and technical reports. Ability to assess data interoperability, lineage, and quality across multiple systems. Proven experience leading cross‑functional data modernization initiatives. Why This Role Matters As aviation and federal programs evolve, any weakness in underlying infrastructure can impact operations and service delivery on a national scale. As a Data Architect, you will play a vital role in ensuring that the FAA's data systems are integrated, secure, and optimized for performance-supporting initiatives such as NextGen modernization, airspace optimization, and safety analytics that directly influence the future of U.S. aviation. #J-18808-Ljbffr

A leading consulting firm is seeking an experienced Data Architect to design, implement, and optimize enterprise data solutions for federal government missions. This role involves modernizing data environments using cloud-native technologies and advanced data engineering frameworks. Candidates should have strong expertise in cloud platforms and data architecture patterns. Competitive compensation and benefits are provided, including health care and 401(k) match. #J-18808-Ljbffr

Saalex is seeking a Senior Data Solution Architect in Bethesda, MD to support NSWC Carderock's requirements for engineering, IT, and technical support for data analysis, software development and modifications, control system development, IT and Information assurance (IA). The work performed will be in support of various projects related to surface ships, submarines, boats and combatant craft, air vehicles, other vehicles going through air and/or water, associated trainers and simulators from any of the above, and IT infrastructure. Senior Data Solution Architect research, design, develop, and test computer hardware and software programs. Hardware refers to computer chips, circuit boards, computer systems, and related equipment such as keyboards, modems, and printers. Senior Data Solution Architect develops software systems that control computers. Computer hardware engineers work exclusively with computers and computer-related equipment. In addition to design and development duties, computer hardware engineers supervise the manufacturing and installation of computers and computer-related equipment. Senior Data Solution Architect develop new computer software systems and to incorporate new technologies in a rapidly growing range of applications. Computer software engineers apply the principles and techniques of computer science, engineering, and mathematical analysis to the design, development, testing, and evaluation of the software and systems that enable computers to perform their many applications. Software engineers analyze users' needs and design, construct, test, and maintain computer applications software or systems. Senior Data Solution Architect can be involved in the design and development of many types of software, including software for operating systems and network distribution, and compilers, which convert programs for execution on a computer. They also solve technical problems that arise. Software engineers must possess strong programming skills but are more concerned with developing algorithms and analyzing and solving programming problems than with actually writing code. Position Type: Full-Time Salary:$140k - $198k annually (depending on experience) Work Location:Onsite. Candidates are required to work onsite full-time in Bethesda, MD. Required: Bachelor's Degree from an accredited institution in Computer Science, Software or IT discipline, Engineering, or Mathematics. Desired: Possess and maintain all qualifications for certification in Scaled Agile Framework (SAFe). Twenty (20) years of experience in Cyber and IT strategy and planning. The twenty (20) years of experience shall include experience in all of the following: Architecting, developing, deploying and leading large scale data migrations involving time series data streams with multiple data channels such as those collected from full-scale trials, model scale tests, and digital simulations. Developing data storage solutions for large data repositories that ensure integrity, redundancy and availability while maintaining the original raw data. Deploying reporting engines on top of databases and database architectures such as Oracle, TimeScaleDB and PostgreSQL. Using tools to analyze platform time series data such as Artificial Intelligence and Machine Learning in maritime applications. Building and supporting cloud based solutions in Amazon Web Services (AWS) GovCloud and VMWare. Security Clearance: Active Secret clearance required. Requirements to obtain a clearance include US Citizenship, security investigation, etc. Education/Experience: Bachelor's Degree from an accredited institution in Computer Science, Software or IT discipline, Engineering, or Mathematics. Competitive Compensation: We offer a highly competitive salary package to attract and retain top talent in the industry. Our compensation structure is designed to reward exceptional performance and provide financial stability. Comprehensive Health Coverage: We provide a comprehensive health insurance plan that covers medical, dental, and vision expenses. Our goal is to ensure that our employees have access to quality healthcare and can take care of their well-being. Retirement Savings: We offer a robust retirement savings program, including a 401(k) plan, to help our employees plan for their future. We provide matching contributions to help accelerate their savings and build a solid financial foundation. Work-Life Balance: We believe in the importance of work-life balance and understand that our employees have personal commitments and responsibilities. We offer generous paid time off to support our employees in maintaining a healthy work-life integration. Professional Development: We are committed to the growth and development of our employees. We provide various opportunities for professional development, including training programs, and tuition reimbursement, to help them expand their skills and advance in their careers. Recognition and Rewards: We value the contributions of our employees and believe in recognizing their achievements. We have a robust recognition program in place, including employee appreciation events, and employee recognition awards, to acknowledge and reward exceptional work. Positive and Inclusive Work Environment: We foster a positive and inclusive work environment where diversity is valued, and employees feel respected and empowered. We promote collaboration, open communication, and teamwork to create a supportive atmosphere that enables everyone to thrive. Saalex Solutions, a division of Saalex Corp., is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management, Engineering and Logistics Services, Data Analytics and Business Intelligence Services and Information Technology Services. Founded in 1999 by Travis Mack, Saalex Solutions is a Service Disabled Veteran-Owned and Operated business with prime and subcontract expertise serving the Navy, Army, Air Force, NASA, corporate clients, and local governments. We employ a workforce of over 600 at military and NASA installations nationwide and have offices in Camarillo CA, Rockledge FL, Newport RI, Ridgecrest CA, Corona CA and Keyport WA. Equal Opportunity Employer/Veterans/Disabled Pay Transparency Nondiscriminatory Provision #J-18808-Ljbffr

A technology solutions provider in Baltimore is seeking an experienced leader in data science with over 10 years in decision science or analytics. The ideal candidate has proven leadership skills and a strong background in machine learning and statistical methodologies. This role demands business leadership experience, ideally at the VP or Director level. Join a forward-thinking company that values diversity and equal opportunity. #J-18808-Ljbffr

A prominent health innovation organization is looking for a Data Scientist to join their Medicare Stars Team in Washington, DC. The successful candidate will design data pipelines, implement document analytics, and collaborate with various teams to translate business requirements into analytical solutions. Required qualifications include proficiency in statistical analysis, strong programming skills, and a Bachelor's degree in a relevant field. The position offers a competitive salary and numerous benefits. #J-18808-Ljbffr

A leading technology firm in Washington, DC is seeking an experienced Data Scientist to transform complex data into actionable insights. The ideal candidate will leverage expertise in statistics and machine learning to solve real-world problems. Responsibilities include data collection and analysis, model development, and collaboration across teams. A Bachelor's or Master's degree in a quantitative field and 3+ years of experience are required. Competitive salary and benefits are offered. #J-18808-Ljbffr

Analytica is seeking an experienced Data Architect to design, implement, and optimize enterprise data solutions in support of federal government missions. The Data Architect will play a hands‑on role in modernizing data environments, leveraging cloud‑native technologies, Databricks, and advanced data engineering frameworks to ensure scalable, secure, and high‑performing solutions. This role requires strong expertise in cloud platforms (AWS, Azure, GCP), big data ecosystems, and modern data architecture patterns, along with an ability to translate mission needs into technical solutions. Analytica has been recognized by Inc. Magazine as one of the fastest‑growing 250 businesses in the U.S. for three years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day‑to‑day lives. The company offers competitive compensation with opportunities for bonuses, employer‑paid health care, training and development funds, and 401(k) match. Responsibilities Design and implement scalable data architectures for structured, semi‑structured, and unstructured data. Lead the modernization of legacy data environments into cloud‑based big data platforms. Architect solutions leveraging Databricks, Spark, Delta Lake, and related big data technologies. Define and enforce data governance, data security, and metadata management practices in compliance with federal standards. Collaborate with government stakeholders, program managers, and development teams to ensure alignment with mission objectives. Develop data models, pipelines, APIs, and integration strategies across multiple data sources and platforms. Ensure architectures support analytics, AI/ML, and business intelligence use cases. Mentor data engineers and developers, promoting best practices in coding, design, and performance optimization. Support capture and proposal activities by shaping technical solutions and writing architecture content for bids. Basic Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master's preferred). 8+ years of experience in data architecture, data engineering, or solution architecture, including at least 3 years with cloud‑based solutions. Expertise in Databricks, Apache Spark, Delta Lake, and distributed data processing frameworks. Strong knowledge of AWS (Glue, S3, Redshift, EMR), Azure (Synapse, Data Lake, Purview), or GCP (BigQuery, Dataflow, Dataproc). Experience designing data lakes, data warehouses, and streaming/real‑time data architectures. Familiarity with federal data standards (e.g., FISMA, FedRAMP, CUI handling, data governance frameworks). Proficiency in SQL, Python, and big data query optimization. Must be U.S. Citizen. Must be able to obtain and maintain a Public Trust security clearance. Preferred Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer). Experience supporting federal data modernization, digital transformation, or analytics programs. Familiarity with data governance tools (Collibra, Alation, Informatica, Purview). Exposure to AI/ML pipelines and MLOps in cloud environments. About Analytica Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award‑winning SBA 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest‑growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI Maturity Level 3 and is an ISO 9001:2008 certified provider. Equal Opportunity Employer Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws. #J-18808-Ljbffr