Title: Data Engineer, Core Product Location: remote United States Job Description: Employment Type Full time Department General & AdministrativeOps/Bizops We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us. About the Role We're hiring a technical Data Engineer to own our full data stack – from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company In this role you will: - Design and manage database architecture and data models - Build and maintain ETL/ELT pipelines and orchestration workflows - Create and manage new data integrations across internal and external systems - Own business reporting: datasets, dashboards, metrics, and self-serve analytics - Ensure data quality, observability, governance, and documentation Requirements for the role: - 4+ years in a data engineering, data science, or full-stack data role - Expert on SQL and Python (required) - Experience with data modeling, warehouse architecture, and BI-oriented schema design - Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.) - Experience building or maintaining BI reporting (Metabase a plus) - Experience developing scalable backend heavy applications - Strong knowledge of statistics and experimentation - SF, NYC or Remote Equal Opportunity Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.

Title: Consolidated Data Analytics Platform Engineer Location: Fort Meade, MD Pensacola, FL Ford Island, HI Columbus, OH Full time Job Description: The Opportunity: Are you excited at the prospect of developing innovative solutions to enable secure and reliable operations of enterprise computer systems? Are you fascinated by the possibilities presented by engineering, designing, development, and implementation of enterprise network cyber defense capabilities to prevent sophisticated cyber threats? In an increasingly connected world, it is critical to understand the fundamentals of layered defense and Zero Trust technologies. As a Splunk and Cribl Engineer, you will prevent adversary network threats, identify advanced attack vectors, and thwart methods of exploitation. We have an opportunity for you to use your leadership, strategy, and analytical skills to improve Booz Allen's delivery to our clients. You'll work individually or in a small integrated team, and lead a task, project, or team. You will ensure project completion and provide guidance and direction to lower-level technicians, specialists, and managers. You'll provide expertise in the engineering, design, development, direction, and implementation of enterprise network cyber defense capabilities. You will apply familiarity with the utilization, configuration, and implementation of cyber defense capabilities, including web content filters, email security capabilities, Intrusion Detection System, Intrusion Prevention Systems, Host Based Security Systems, Security Incident and Event Management tools, Domain Name System security practices, advanced log analysis, network monitoring, network flow analysis, packet capture analysis, network proxies, firewalls, anti-virus capabilities, Linux or UNIX command line, and access control lists. Join our team as we improve our ability to execute critical missions across the globe through cybersecurity. Join us. The world can't wait. You Have: - 1+ years of experience building data pipelines leveraging tools such as Cribl - Experience with Windows and Linux, including installing, configuring, or maintaining servers operating systems and applications - Experience working with STIGs, SCAP, and cybersecurity best practices - Secret clearance - HS diploma or GED - DoD 8570 IAT II compliant Certification such as Security+, CCNA Security, or GSEC Certification Nice If You Have: - Experience with Kubernetes - Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection - Experience scripting in PowerShell and BASH command line interfaces, or in Python or Perl scripting languages - Experience in DoW, Intelligence Community, or other regulated environments - Knowledge of Zero Trust Architecture (ZTA) principles - Ability to automate security configurations of Linux and Windows systems, and recommend and implement remediations for non-compliant security controls Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 $99,000.00 to $225,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the 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.

Role Description ASRC Federal Technology Solutions is seeking a Business Intelligence Data Engineer – Lakehouse / ML / AI to support enterprise data modernization efforts for the Defense Contract Audit Agency (DCAA). This role is responsible for designing, building, and maintaining scalable data pipelines and architectures that enable advanced analytics, reporting, and machine learning capabilities. The ideal candidate will have experience working with Lakehouse architectures, cloud-based data platforms, and integrating AI/ML solutions into business intelligence environments. - Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting structured and unstructured data - Implement and manage lakehouse architecture solutions (e.g., Delta Lake, Databricks, or similar platforms) - Integrate data from multiple sources including enterprise systems, cloud platforms, and external data feeds - Develop and optimize data models to support business intelligence, analytics, and reporting requirements - Collaborate with data scientists and analysts to enable machine learning and AI-driven insights - Support the deployment and operationalization of ML models within production data environments - Ensure data quality, integrity, governance, and compliance with DoD and federal data standards - Develop dashboards and reporting solutions using BI tools (e.g., Power BI, Tableau) - Optimize performance and scalability of data platforms in cloud environments (AWS, Azure, or similar) - Document data architecture, workflows, and technical solutions Qualifications - Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field. Equivalent combination of education and experience will be considered. - 5+ years of experience in data engineering, business intelligence, or related field - Active Secret Clearance Required - Experience with data lake or Lakehouse architectures - Strong proficiency in SQL and at least one programming language (Python, Scala, or Java) - Experience with cloud platforms (AWS, Azure, or Google Cloud) - Familiarity with ETL/ELT tools and big data technologies (e.g., Spark, Hadoop) - Experience supporting BI tools such as Power BI, Tableau, or similar - Understanding of data governance, security, and compliance requirements Preferred Qualifications - Experience with Databricks, Snowflake, or Delta Lake - Experience integrating or supporting machine learning models in production environments - Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, or scikit-learn) - Familiarity with DevSecOps and CI/CD pipelines for data solutions - Experience supporting federal or DoD environments - Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate) Benefits - Insurance Coverage: Comprehensive plans for medical, dental, vision, life insurance, and short-term/long-term disability - Paid Leave: Inclusive policies for bereavement, military obligations, and parental needs, along with 11 paid holidays annually - Retirement Savings: A 401(k) plan with a generous company match and immediate vesting to help secure your financial future - Incentives: Employee referral bonuses to reward you for helping grow the ASRC Federal Family - Learning and Development: After 90 days of employment, regular full-time employees are eligible for our professional development program, including funding for degrees, certifications, and professional conferences - Centers of Excellence: Forums to share ideas, best practices, innovations, and collaborate with technical peers

Role Description The Hanover is currently seeking a Senior Data Engineer to join our growing team in our Worcester, MA office or remote work arrangement. Data engineering focuses on practical applications of data collection and analysis. This role will primarily involve: - Becoming proficient with all internal and external data produced and consumed by THG. - Driving larger, more complicated projects independently. - Mentoring less experienced engineers. - Collaborating with business partners and assuming a data/tech lead role on cross-functional teams delivering data/reporting solutions. - Designing, developing, implementing, optimizing, and maintaining data integrations, pipelines, and solutions. This is a full-time, exempt position. Qualifications - Proven experience in data engineering and best practices for data storage, integration, transformation, and access within Azure and on-premises platforms. - Proven expertise in designing and implementing data solutions utilizing Azure Resources (Azure Data Factory, Azure Synapse, ADLS, etc). - Strong experience with data integration, ETL processes, and data warehousing. - Advanced proficiency in SQL, Python, and PowerShell. - Proven knowledge of data modeling, governance, and data engineering best practices and patterns. - Hands-on experience with optimizing data ingestion pipelines and notebooks for scale, performance, reliability, and cost efficiency. - Familiarity with integration connectors (APIs, File, SFTP/FTPS, Streaming Data, DB Connectors, SOAP, REST). - Strong problem-solving, communication, and collaboration skills. - Ability to create documentation for data processes and solutions. - Ensure data security and compliance with industry standards. - Experienced in agile development methodologies and DevOps best practices. - Git/Github experience for CI/CD. - Coaching, mentoring, and technical guidance for junior team members. - Analytical skills for profiling and analyzing large data sets. - Critical thinking and attention to detail. - Debugging skills for data solution issues. - Collaborate with data scientists, analysts, and stakeholders. - Monitor and maintain data pipelines. - Design, develop, and test data mapping with transformation rules. - Ensure data quality and reliability. - Develop and maintain documentation for data integration and ETL solutions. Requirements - Bachelor’s degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent. - 5 plus years professional experience in data engineering, data architecture, data integration. - Must be eligible to work in the United States without requiring sponsorship now or in the future (i.e., US Citizen or green card holder). Preferred - Microsoft DP-203 or DP-700 certification. - Microsoft Fabric experience. - Power BI experience. - Master’s degree in data science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent. Career Development It’s not just a job, it’s a career, and we are here to support you every step of the way. We want you to be successful and fulfilled. Through on-the-job experiences, personalized coaching and our robust learning and development programs, we encourage you – at every level – to grow and develop. Benefits - Medical, dental, vision, life, and disability insurance. - 401K with a company match. - Tuition reimbursement. - PTO. - Company paid holidays. - Flexible work arrangements. - Cultural Awareness Day in support of IDE. - On-site medical/wellness center (Worcester only).