data pipeline engineer

ITCON Services

<div><b>ITCON Services</b> is seeking a <b>Data Engineer </b>to design, develop, maintain, and optimize automated data pipelines, ETL/ELT processes, data warehouses, and data marts supporting USDA FPAC mission reporting and analytics.
<h1 class="jobSectionHeader"><b>At ITCON, we offer competitive compensation, paid training and development opportunities, healthcare benefits that start on your first day, commuter benefits, work-life balance, and the opportunity to work alongside an amazing and growing team.</b><b>
</b></h1><h1 class="jobSectionHeader"><b>Applicant must be a permanent resident or citizen of the United States and clearable for Public Trust clearance with the U.S Government.</b><b>
</b></h1><h2 class="jobSectionHeader"><b>Key Responsibilities</b><b>
</b></h2><ul><li>Develop and maintain data ingestion, transformation, and loading workflows.
</li><li>Build and optimize ETL/ELT processes, data pipelines, and integration services.
</li><li>Implement source-to-target mappings and business transformation logic.
</li><li>Support data warehouse and data mart development activities.
</li><li>Troubleshoot production data pipeline failures and data quality issues.
</li><li>Develop automated testing and validation checks for data movement processes.
</li><li>Support deployment, change management, and operational maintenance activities.
</li><li>Document pipeline designs, operational procedures, and technical artifacts.
</li></ul><h2 class="jobSectionHeader"><b>Required Skills and Qualifications</b><b>
</b></h2><ul><li>Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
</li><li>3+ years of experience in data engineering or ETL development.
</li><li>Hands-on SQL and data integration experience.
</li><li>Experience with cloud or enterprise data platforms and scripting languages such as Python.
</li><li>Public Trust eligibility.</li>
</ul><h2 class="jobSectionHeader"><b>Desired Skills and Qualifications</b><b>
</b></h2><ul><li>Experience with Databricks, DataStage, SSIS, AWS, Azure, Cloudera, Tableau, or Oracle Analytics.
</li><li>Knowledge of CI/CD, DevSecOps, and automated testing practices.
</li><li>USDA or federal civilian agency experience.</li></ul></div>

Data Engineer

Immersion Consulting, LLC

<div>Description:
<p>
The Senior Data Engineer is responsible for designing, implementing, maintaining, and optimizing a cloud-based data architecture and data pipeline ecosystem. The position supports advanced analytics, machine learning operations, fraud detection initiatives, and investigative activities by delivering scalable, secure, and sustainable Azure-based data solutions. The Senior Data Engineer develops and maintains modern ELT/ETL pipelines, data models, source-controlled environments, and operational standards that enable efficient data ingestion, processing, storage, and access.</p><ul><li>
Design, implement, and maintain scalable Azure-based data architecture supporting audits, investigations, and fraud analytics.</li><li>
Develop, optimize, and sustain ELT/ETL pipelines within Azure Synapse Analytics and Azure Machine Learning environments.</li><li>
Migrate and integrate large-scale datasets into Azure Data Lake Storage (ADLS).</li><li>
Establish source control, version management, and development standards across data engineering assets.</li><li>
Implement pipeline monitoring, validation, logging, and error-handling frameworks.</li><li>
Design and maintain data models, data dictionaries, entity relationship diagrams, and architectural documentation</li><li>
Optimize ingestion, transformation, storage, and retrieval performance across diverse data sources and formats.</li><li>
Develop self-service data access capabilities for analysts and investigators.</li><li>
Collaborate with Data Scientists to ensure infrastructure effectively supports machine learning and AI initiatives.</li><li>
Author and maintain Standard Operating Procedures (SOPs) governing data pipeline development, deployment, and monitoring.</li><li>
Evaluate emerging AI-enabled engineering tools and LLM-assisted automation capabilities.</li><li>
Recommend and implement architectural improvements that increase efficiency, reliability, security, and cost effectiveness.</li></ul>
Requirements:
<ul><li>Bachelor's degree in Data Engineering, Computer Science, Data Science, Machine Learning, Mathematics, or related discipline; <b>or </b>5 years of relevant applied experience.</li><li>
Five or more years of experience maintaining SQL database environments and performing advanced SQL/T-SQL operations.</li><li>
Five or more years of experience designing and maintaining cloud-based ELT/ETL solutions.</li><li>
Three or more years of experience working with Azure Synapse Analytics and Azure Machine Learning.</li><li>
Three or more years of experience developing data solutions using Python and Pandas.</li><li>
Experience supporting modern data platforms and cloud-native analytics architectures.</li><li>
Demonstrated expertise in data architecture design, pipeline optimization, and operational support.</li></ul></div>

Senior Data Engineer

Apple

<p>At Apple, the content that reaches hundreds of millions of people: music, films, books, podcasts, and apps, is underpinned by sophisticated data systems that run quietly and reliably at scale. The ASE Content Data Engineering team builds and maintains the reporting infrastructure, data pipelines, and data models that keep Apple's online media platform informed, compliant, and moving forward.<br>
<br>
We are looking for a Software Development Engineer - Data to join our Reporting &amp; Data Models team. In this role, you will modernize and automate legacy data pipelines, build new reporting solutions, maintain a large and complex reporting estate across Oracle and cloud-native platforms, and help deliver compliance extracts that meet real-world legal deadlines across multiple jurisdictions. If you enjoy working on systems that matter, where your engineering choices directly impact operational accuracy, regulatory compliance, and business intelligence for one of the world's largest media platforms, we would love to hear from you.<br>
<br>
<b>Description</b><br>
<br>
The ASE Content Data Engineering team is responsible for the internal business intelligence infrastructure that powers Apple's online media store. The data models and reports developed by this team supply information to engineering, business operations, and external content providers regarding the status of online media, including workflow status, availability, and incoming and outgoing volume.<br>
<br>
This engineer will own and evolve a large portfolio of data pipelines and reporting systems, driving the ongoing migration from legacy infrastructure to modern pipeline orchestration and cloud-based storage, while also delivering net-new reports and data models in response to business, engineering, and regulatory needs. The role demands a blend of engineering rigor, data fluency, and a strong reliability mindset: the team's reports directly support legal and compliance obligations with hard, externally-imposed deadlines.<br>
<br>
The ideal candidate brings a bias toward automation and self-healing pipelines over manual intervention, and is comfortable managing a broad portfolio of concurrent work, balancing urgent pipeline fixes against longer-horizon migration and enhancement projects. They can independently troubleshoot and resolve ambiguous, production-impacting issues under time pressure, and communicate technical findings clearly to non-engineering stakeholders across legal, business operations, and content provider teams. Knowledge of or genuine curiosity about online media is a plus.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and maintain automated data pipelines and reporting systems across a hybrid stack spanning Oracle, Spark, Hadoop, and cloud object storage<br>
<br>
Drive the migration of legacy report jobs to modern pipeline orchestration and cloud infrastructure, ensuring reliability, observability, and maintainability<br>
<br>
Investigate and resolve pipeline failures, performance bottlenecks, and data quality issues across a large, interdependent reporting estate covering all content domains<br>
<br>
Develop and maintain legal and regulatory-compliance reports where accuracy, auditability, and on-time delivery are non-negotiable<br>
<br>
Onboard and publish curated datasets from operational data stores to the Apple Data Lakehouse, ensuring proper data governance, lineage documentation, and PII tagging<br>
<br>
Extend and enhance internal content data platform models across all content domains: propagating schema changes, adding new columns and descriptors, and maintaining the accuracy of the platform's content-intelligence surface<br>
<br>
Execute controlled, legally-gated production data modifications and archival/deletion programs under change control and with required legal approval<br>
<br>
Contribute to the evolution of AI-assisted data tooling (e.g., Text-to-SQL), automating and accelerating how stakeholders access and query content data<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Familiarity with Iceberg / Parquet-based table formats<br>
<br>
Proficiency in macOS and Linux server environments<br>
<br>
Experience using GenAI tools (e.g., Claude, OpenAI tools) to accelerate engineering tasks<br>
<br>
Familiarity with cloud object storage migration patterns (HDFS to S3)<br>
<br>
Experience with EKS or other cloud-based compute platforms<br>
<br>
Familiarity with Trino or other distributed SQL query engines<br>
<br>
Experience with Flink or Flink SQL for stream-based data processing<br>
<br>
Familiarity with GenAI-assisted data access patterns (e.g., MCP servers, Text-to-SQL, LLM-assisted data documentation)<br>
<br>
Familiarity with Tableau or similar data visualization and dashboarding tools<br>
<br>
Experience with shell scripting for automation and pipeline support<br>
<br>
Experience with Java development<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Minimum 1 year of experience as a Software Engineer, Data Engineer, or equivalent role<br>
<br>
Strong experience with Spark and Spark SQL, including performance tuning and resource optimization<br>
<br>
Strong experience with Hadoop, HDFS, and/or S3-compatible object storage<br>
<br>
Hands-on experience with Python scripting for data processing and automation<br>
<br>
Experience writing SQL and PL/SQL on Oracle, including query optimization<br>
<br>
Experience building and maintaining automated data pipelines and job scheduling systems (e.g. Airflow)<br>
<br>
Experience with CI/CD workflows and version-controlled deployment of data pipeline code<br>
<br>
Hands-on experience with Kubernetes for container-based workload execution<br>
<br>
Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field OR Hands-on engineering experience and a demonstrable track record of building and maintaining production data systems are weighted equally alongside formal academic credentials.<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Software Development Engineer - Data

VTG Defense

<div>Overview:
<div>
VTG is looking for a<b> Data Engineer in Chantilly, VA</b></div><br>
<div></div>
Responsibilities:
<div>
Seeking a Cloud Data Engineer to design, develop, and optimize scalable cloud-based data platforms that support analytics, AI/ML, and business intelligence initiatives. This role focuses on cloud architecture, data engineering, pipeline development, and modernization efforts while collaborating with cross-functional teams to deliver secure, high-performance data solutions in a mission-driven environment.</div>
Qualifications:
<div><b>Required Skills and Qualifications:</b></div><ul><li>
3+ years of experience designing cloud-native data platforms in AWS</li><li>
2+ years of experience designing scalable data lake, warehouse, and analytics solutions</li><li>
2+ years of experience with cloud migration and modernization efforts</li><li>
2+ years of experience with the data pipelines, including data acquisition, data prep, and database architecture</li><li>
Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards</li><li>
Experience with non-relational and semi-relational databases</li><li>
Experience creating software for retrieving, parsing, and processing structured and unstructured data</li><li>
Experience with team lead functions, creating solutions within a collaborative and cross-functional team environment</li><li>
TS/SCI clearance with a polygraph</li><li>
Bachelor's degree in CS</li></ul><div><b>
</b></div><div><b>
Preferred Skills and Qualifications:</b></div><ul><li>
Experience with Pyspark and Spark ecosystems such as Databricks and EMR</li><li>
Experience evaluating data analytic or science technologies and platforms</li><li>
Experience going through an A&amp;A process or leading modifications</li><li>
Experience with Cloud Architecture and evaluating and selecting cloud analytics architectures</li><li>
Experience with Data Marts and Data Warehouses and creating, managing, and troubleshooting complex operational data flows</li><li>
Experience with Source code management and integration such as GitHub</li><li>
Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)</li><li>
Experience with scripting languages such as Python and SQL</li><li>
Experience with APIs development</li><li>
AWS architecture Certifications such as Solution Architect Certification</li></ul></div><p></p>

THUNDERYARD SOLUTIONS

<p><b>Job Summary:</b></p><p>ThunderYard Solutions is seeking a Data Engineer to support the U.S. Department of Veterans Affairs in designing, developing, and maintaining scalable data solutions that support mission-critical healthcare and business operations. The ideal candidate will have expertise in data architecture, ETL/ELT processes, cloud-based data platforms, and analytics technologies, with a strong commitment to delivering secure, high-quality data solutions in a federal environment.</p><p>This role will collaborate with cross-functional teams, including data analysts, software developers, and government stakeholders, to optimize data pipelines, improve data accessibility, and ensure compliance with federal security and privacy standards. The successful candidate will demonstrate strong problem-solving skills, technical leadership, and the ability to work effectively in an agile environment supporting veteran-focused initiatives.</p><p><b>Required Qualifications:</b></p><ul><li>3+ years of experience as a Data Engineer or in a similar data focused role</li></ul><ul><li>Hands on experience with Databricks</li></ul><ul><li>Strong experience building ETL/ELT pipelines</li></ul><ul><li>Proficiency in Python and SQL</li></ul><ul><li>Experience with Apache Spark / PySpark</li></ul><ul><li>Experience with Azure, Azure Synapse Analytics, and Azure Data Factory</li></ul><ul><li>Solid understanding of data modeling, data warehousing, and analytics use cases</li></ul><ul><li>Design, develop, and maintain ETL/ELT pipelines to ingest, transform, and load data from multiple sources such as APIs, relational databases, cloud storage, and streaming platforms</li></ul><ul><li>Build scalable batch and near real time data pipelines using Databricks and Apache Spark (PySpark / SQL)</li></ul><ul><li>Implement data transformation logic following best practices for performance, reliability, and reusability</li></ul><ul><li>Support schema evolution, data validation, deduplication, and error handling in ETL workflows</li></ul><p>Databricks Platform Development</p><ul><li>Develop and optimize pipelines using Delta Lake and medallion (Bronze / Silver / Gold) architecture patterns</li></ul><ul><li>Use Databricks Workflows / Jobs or similar orchestration tools to schedule and monitor pipelines</li></ul><ul><li>Optimize Spark jobs for performance and cost (partitioning, caching, file sizing, query tuning)</li></ul><ul><li>Collaborate on data governance initiatives using Unity Catalog, access controls, and lineage where applicable</li></ul><p>Collaboration &amp; Operations</p><ul><li>Work closely with data architects, analytics teams, and downstream consumers to define data requirements</li></ul><ul><li>Troubleshoot pipeline failures and data quality issues and implement long term fixes</li></ul><ul><li>Produce documentation for pipelines, datasets, and operational runbooks</li></ul><ul><li>Participate in CI/CD practices using Git based version control for notebooks and code deployments</li></ul><p><b>Preferred Qualifications (Nice to Have):</b></p><p>Preferred / Nice to Have</p><ul><li>Experience with Delta Live Tables (DLT) or Databricks Auto Loader</li></ul><ul><li>Experience with orchestration tools such as Airflow</li></ul><ul><li>Familiarity with streaming data technologies (Kafka, Event Hubs, Kinesis)</li></ul><ul><li>Experience supporting analytics tools (Power BI, Tableau, Looker) connected to Databricks</li></ul><ul><li>Databricks certification (Associate or Professional)</li></ul><p><b>Compensation:</b></p><p>The salary is budgeted at $100,000-$120,000 annually, plus benefits. ThunderYard offers benefits including medical, dental and vision insurance, 401k matching, PTO, certification reimbursement and more.</p><p><b>Vetting: </b></p><p>Candidates selected will be subject to a background investigation for clearance eligibility by our government client.</p><p><i>ThunderYard Solutions is proud to be an Equal Opportunity Employer. We don&rsquo;t just accept difference &ndash; we celebrate it, we support it, and we thrive on it for the benefit of our employees, our community, and our customers. All applicants will be considered for employment without discrimination of race, color, religion, or belief, national, social, or ethnic origin, sex, age, physical, mental, or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union, or domestic partnership status, protected veteran status, family medical history or genetic information. </i></p><p>Pay: $100,000.00 - $120,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Flexible spending account</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Retirement plan</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul><p>Experience:</p><ul><li>Azure: 3 years (Required)</li><li>Databricks: 3 years (Required)</li><li>Azure Data Factory: 3 years (Required)</li></ul><p>Work Location: Remote</p>

Data Engineer- Veterans Affairs

Agile Defense

<div><div><b>About Agile Defense</b></div>
<div></div>
<div>At Agile Defense we know that action defines the outcome and new challenges require new solutions. That&rsquo;s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.</div>
<div></div>
<div>Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility&mdash;leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation&rsquo;s vital interests.</div><div></div><div><br>
<div>
<div><b>Requisition #: </b>1758</div>
</div><div><b>Job Title:</b> Data Engineer - SPACECOM</div>
<div><b>Location:</b> On-Site, Colorado Springs, CO</div>
<div><b>Clearance Level: </b>Top Secret, Must Have Clearance to Start</div>
</div><h3 class="jobSectionHeader"><b>Job Description</b></h3><div>
Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense&rsquo;s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.</div>
<div></div>
<div>You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.</div>
<div></div>
<div>This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.</div><h3 class="jobSectionHeader"><b>
Education and Background</b></h3><div>
Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred)., and 3+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.</div><h3 class="jobSectionHeader"><b>
Years of Experience</b></h3><div>
<div><div><div><div><div>3+ years</div>
</div>
</div></div></div></div><div></div><h3 class="jobSectionHeader"><b>Required Skills</b></h3><ul>
<li>Experience with data visualization and storytelling using tools such as Palantir's MSS Workshop and Slate applications</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Skills</b></h3><ul>
<li>4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development.</li>
<li>Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).</li>
<li>Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost).</li>
<li>Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).</li>
<li>Strong understanding of data validation, model testing, and performance evaluation techniques.</li>
<li>Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.</li>
</ul><h3 class="jobSectionHeader"><b>Working Conditions</b></h3><div>
Must be able to work onsite at a SCIF</div><div><b>
Our Core Values</b></div>
<div></div>
<div>Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.</div>
<div></div>
<div>What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.</div>
<div></div>
<ul><li><b>Happy </b>- Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.</li>
<li><b>Helpful</b> - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.</li>
<li><b>Honest</b> - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.</li>
<li><b>Humble</b> - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.</li>
<li><b>Hungry </b>- Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.</li>
<li><b>Hustle</b> - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.</li>
</ul>
<div></div><div><b>Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Data Engineer - SPACECOM

Booz Allen Hamilton

<div>Data Engineer<p><b>
The Opportunity:</b></p><p>
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there&rsquo;s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it&rsquo;s gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.</p><p></p><p>
As a Data Engineer at Booz Allen, you&rsquo;ll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You&rsquo;ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.</p><p></p><p>
Here, you&rsquo;ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment. You&rsquo;ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, development, and maintenance of scalable platforms for your clients.</p><p></p><p>
Work with us to use data for good.</p><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li><p>
2+ years of experience in data engineering, pipeline development, or software engineering</p></li><li><p>
2+ years of experience with ETL operations, including on-premises or Cloud infrastructure</p></li><li><p>
1+ years of experience with source control and collaboration software, including Git or Atlassian tools</p></li><li><p>
Experience writing software in programming languages, including Python</p></li><li><p>
Knowledge of relational and non-relational database technologies, including SQL or GraphQL</p></li><li><p>
Knowledge of automation and scripting on Linux or Windows operating systems</p></li><li><p>
Ability to obtain a Secret clearance</p></li><li><p>
Bachelor's degree</p></li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li><p>
Experience deploying analytics workloads on a platform as a service (PaaS) and software as a service (SaaS), including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service</p></li><li><p>
Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA</p></li><li><p>
Experience with infrastructure as code frameworks and services, including Terraform or CloudFormation</p></li><li><p>
Experience developing and presenting complex technical information for technical and non-technical audiences and senior leaders</p></li><li><p>
Experience developing and deploying large-scale batch and stream analytics pipelines</p></li><li><p>
Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers</p></li><li><p>
Experience with DoD information systems</p></li><li><p>
Master&rsquo;s degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, or Physics</p></li><li><p>
Cloud Development Certification, including AWS Solutions Architect or Azure Certification</p></li><li><p>
Information Security Certification, including Security+ or CISSP Certification</p></li></ul><p></p><p><b>
Clearance:</b></p><p>
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.</p><p></p><p><b>
Compensation</b></p><p>
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&rsquo;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.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;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 $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
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.</p><p></p><p><b>
Candidate AI Usage Policy</b></p><p>
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 <b>your </b>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 <b>unless permission is explicitly provided</b>.
</p><p></p><p><b>Work Model</b><br>
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.</p><ul><li><p><b>
Remote</b>: 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.</p></li><li><p><b>
Hybrid</b>: 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.</p></li><li><p><b>
Onsite</b>: 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.</p></li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
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.</p></div><p></p>

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8123 data pipeline engineer jobs Near Me

Data Engineer

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Data Engineer