business intelligence (bi) & data automation developer

data engineer

business analyst

data analyst

analyst, coding data quality auditor Jobs in Washington

analyst, coding data quality auditor

business intelligence (bi) & data automation developer Jobs in Washington

data architect

Sparibis

Location: 100% Remote
 
Years' Experience: 5+ years Professional Experience
 
Education: Bachelor's Degree in IT related field
 
Clearance: Applicants must be able to obtain and maintain a secret security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.
 
Required Certifications: 
<ul>
<li>CompTIA Security +</li>
</ul>
Key Skills: 
<ul>
<li>5+ years of IT experience focusing on enterprise data architecture and management to include data flow charts, diagrams, and other technical documentation.</li>
<li>Experience with Databricks, Structured Streaming, Delta Lake concepts, and Delta Live Tables required.</li>
<li>Python development experience required.</li>
<li>Experience with ETL and ELT tools such as SSIS, Pentaho, and/or Data Migration Services, and the ability to incorporate Python as required.</li>
<li>Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).</li>
<li>Proficiency using Git for version control, including repository management, branching, merging, and pull requests.</li>
<li>Active CompTIA Security+ certification preferred. If selected, must be able to obtain a CompTIA Security+ certification prior to beginning supporting the program.</li>
</ul>
Responsibilities
 
<ul>
<li>Plan, create, and maintain data architectures, ensuring alignment with business requirements.</li>
<li>Obtain data, formulate dataset processes, and store optimized data.</li>
<li>Identify problems and inefficiencies and apply solutions.</li>
<li>Determine tasks where manual participation can be eliminated with automation.</li>
<li>Identify and optimize data bottlenecks, leveraging automation where possible.</li>
<li>Create and manage data lifecycle policies (retention, backups/restore, etc).</li>
<li>In-depth knowledge for creating, maintaining, and managing ETL/ELT pipelines.</li>
<li>Create, maintain, and manage data transformations.</li>
<li>Maintain/update documentation.</li>
<li>Create, maintain, and manage data pipeline schedules.</li>
<li>Monitor data pipelines.</li>
<li>Create, maintain, and manage data quality gates (Great Expectations) to ensure high data quality.</li>
<li>Support AI/ML teams with optimizing feature engineering code.</li>
<li>Expertise in Spark/Python/Databricks, Data Lake and SQL.</li>
<li>Create, maintain, and manage Spark Structured Steaming jobs, including using the newer Delta Live Tables and/or DBT.</li>
<li>Research existing data in the data lake to determine best sources for data.</li>
<li>Create, manage, and maintain ksqlDB and Kafka Streams queries/code</li>
<li>Data driven testing for data quality.</li>
<li>Maintain and update Python-based data processing scripts executed on AWS Lambdas.</li>
<li>Unit tests for all the Spark, Python data processing and Lambda codes.</li>
<li>Maintain PCIS Reporting Database data lake with optimizations and maintenance (performance tuning, etc).</li>
<li>Streamlining data processing experience including formalizing concepts of how to handle lake data, defining windows, and how window definitions impact data freshness.</li>
</ul>
Qualifications
 
<ul>
<li>5+ years of IT experience focusing on enterprise data architecture and management.</li>
<li>Must have an active Secret security clearance.</li>
<li>Bachelor degree required.</li>
<li>CompTIA Security+ certification preferred. If selected, must be able to obtain a CompTIA Security+ certification prior to begin supporting the program.</li>
<li>Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional Data Modeling.</li>
<li>Experience with Databricks and Python Development, Structured Streaming, Delta Lake concepts, and Delta Live Tables required.</li>
<li>Additional experience with Spark, Spark SQL, Spark DataFrames and DataSets, and PySpark.</li>
<li>Data Lake concepts such as time travel and schema evolution and optimization.</li>
<li>Structured Streaming and Delta Live Tables with Databricks a bonus.</li>
<li>Knowledge of Python (Python 3.X) for CI/CD pipelines required.</li>
<li>Familiarity with Pytest and Unittest a bonus.</li>
<li>Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data mart build, and data lakes implementation / support.</li>
<li>Advanced level understanding of streaming data pipelines and how they differ from batch systems.</li>
<li>Formalize concepts of how to handle late data, defining windows, and data freshness.</li>
<li>Advanced understanding of ETL and ELT and ETL/ELT tools such as SSIS, Pentaho, Data Migration Service etc.</li>
<li>Understanding of concepts and implementation strategies for different incremental data loads such as tumbling window, sliding window, high watermark, etc.</li>
<li>Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus.</li>
<li>Understanding of streaming data pipelines and batch systems.</li>
<li>Familiarity with concepts such as late data, defining windows, and how window definitions impact data freshness.</li>
<li>Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).</li>
<li>Indexing and partitioning strategy experience.</li>
<li>Debug, troubleshoot, design and implement solutions to complex technical issues.</li>
<li>Experience with large-scale, high-performance enterprise big data application deployment and solution.</li>
<li>Understanding how to create DAGs to define workflows.</li>
<li>Familiarity with CI/CD pipelines, containerization, and pipeline orchestration tools such as Airflow, Prefect, etc a bonus but not required.</li>
<li>Architecture experience in AWS environment a bonus.</li>
<li>Familiarity working with Kinesis and/or Lambda specifically with how to push and pull data, how to use AWS tools to view data in Kinesis streams, and for processing massive data at scale a bonus.</li>
<li>Experience with Docker, Jenkins, and CloudWatch.</li>
<li>Ability to write and maintain Jenkinsfiles for supporting CI/CD pipelines.</li>
<li>Experience working with AWS Lambdas for configuration and optimization.</li>
<li>Experience working with DynamoDB to query and write data.</li>
<li>Experience with S3.</li>
<li>Experience working with JSON and defining JSON Schemas a bonus.</li>
<li>Experience setting up and management Confluent/Kafka topics and ensuring performance using Kafka a bonus.</li>
<li>Familiarity with Schema Registry, message formats such as Avro, ORC, etc.</li>
<li>Understanding how to manage ksqlDB SQL files and migrations and Kafka Streams.</li>
<li>Ability to thrive in a team-based environment.</li>
<li>Experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior level of management.</li>
<li>Proficiency using Git for version control, including repository management, branching, merging, and pull requests.</li>
<li>Repository setup and management.</li>
<li>Branching strategies (feature, develop, main).</li>
<li>Merging and resolving conflicts.</li>
<li>Creating and reviewing pull requests.</li>
<li>Commit best practices (clear messages, atomic commits).</li>
<li>Tagging and release management.</li>
</ul>
About Sparibis
 
Sparibis LLC is a professional solution firm that Clients rely on to access the best talent to drive their business success.
 
Sparibis is an equal opportunity employer that values diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply.

Data Engineer

Google

<div>The application window will be open until at least March 09, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Boulder, CO, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>6 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience with Big Data technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).</li>
<li>Experience using programming languages to design demos, prototypes, or workshops for customers.</li>
<li>Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience engaging with, presenting to, or influencing technical stakeholders or executive leaders.</li>
<li>Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.</li>
<li>Experience with cloud products and differentiation from competition.</li>
<li>Experience in technical sales or consulting in cloud computing, data analytics, and Big Data.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Our mission is to partner with GPS field teams to provide the technical expertise necessary to ensure our customers adopt Google Cloud successfully. We work to be the technologists across AI/ML, application and infrastructure modernization, networking, databases, analytics, and security.
<div>As a Data and Analytics Customer Engineering Specialist in Google Public Sector (GPS), you'll leverage your experience and thought leadership to empower sales teams in incubating, piloting, and deploying Google Cloud's industry-leading data portfolio.<div></div><div> 
You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.</div></div>
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions. 
The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Partner with technical sales teams to differentiate Google Cloud to our customers.</li>
<li>Serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads.</li>
<li>Leverage expertise in our strategic product areas, in partnership with Platform Customer Engineers, to design data foundation architectures and develop MVPs (Minimum Viable Products) to sell new, highly specialized solutions to customers.</li>
<li>Solve analytics-centered customer issues and provide a critical feedback loop to unblock customers and influence product development.</li>
<li>Serve as a trusted advisor and data architect for our customers and lead their data migration workloads to Google Cloud.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Customer Engineer, Data and Analytics, Google Public Sector

<div>Description:

Position Description
JPI is hiring a Senior Data Practitioner with 10 years of experience to assist the United States Coast Guard (USCG) Office of Data and Analytics with end-to-end data lifecycle support. This role requires a broad range of capabilities including data architecture and integration, data engineering (e.g., building data pipelines and ingest patterns to move raw data from data producers to an enterprise data ecosystem and validating data for enterprise use), data science (modeling and development to support operational initiatives), and analytics development.
The role requires a unique blend of technical expertise, along with strong project management and leadership skills to drive the project. The candidate will lead a team providing support to a federal client. They will work closely with developers, domain SMEs, software engineers, and data architects within JPI and with the USCG client. The Senior Data Practitioner will provide thought leadership and direction for improvements to data architecture and engineering and data reporting and visualization efforts, while implementing sophisticated and efficient methods and tools for delivery to solve large scale and complex enterprise-wide problems. 
JPI is hiring a Technical Lead to join a hybrid team who can work onsite, as needed. This is a W2 opportunity.
At JPI, we strive to empower our people and excel for our clients. We hold ourselves to high standards and prioritize our values of being one team with unwavering integrity. We are motivated by our mission and driven to deliver solutions that exceed expectations. Will you join us?
 Responsibilities Include: 
<ul><li>Oversee Project Execution</li><li>
Translate business needs and value between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams.</li><li>
Foster a collaborative work environment, guiding and mentoring team members in achieving project milestones.</li><li>
Collaborate with client teams to understand and document data requirements with emphasis on identifying sources to meet those requirements.</li><li>
Communicate with relevant external office stakeholders to understand the requirements, locations, and methods of data access.</li><li>
Data Science, Analysis, and Reporting</li><li>
Explore data and craft models to answer core business problems that may not have a common blueprint.</li><li>
Work with large datasets and solve difficult analytical problems, applying advanced methods.</li><li>
Lead the invention of new approaches and algorithms for tackling data-intensive problems.</li><li>
Build and refine accurate forecasting models using Python.</li><li>
Investigate frameworks to determine the best framework for analyses, reports and data visualizations.</li><li>
Validate and maintain the integrity and accuracy of data used in the forecasting process.</li><li>
Liaise with internal teams to gather requirements and provide updates.</li><li>
Lead rigorous testing phases to ensure the reliability and effectiveness of the forecasting system.</li><li>
Document processes from data source(s) to final deliverable(s).</li><li>
Create and drive data science innovation within the organization, helping define and build foundational processes, and enabling the delivery of key business initiatives that adhere to technical standards for data science and machine learning, including the design and construction of reusable data assets.</li><li>
Provide mentorship and guidance to developers to support continued training.</li></ul>
Requirements:
<ul><li>BA/BS with 10 years of experience; or Master&rsquo;s degree with 8 years of experience.</li><li>
PMP certification, Certified Scrum Master, Certified Scrum Product Owner, DHS mid-level Project Management certification, or equivalent certification.</li><li>
Must hold active Public Trust, or other security clearance.</li><li>
Technical background in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or other quantitative and computational sciences.</li><li>
Experience creating, managing, and troubleshooting complex data flows.</li><li>
A compelling track record of Data Science / Engineering expertise, designing and deploying large scale technical solutions that deliver tangible, ongoing value.</li><li>
Experience with core ML frameworks, including SKLearn, XGBoost, TensorFlow, PyTorch, and MLlib.</li><li>
Experience with modern programming languages, including Python, Scala, R, C++, and Java.</li><li>
Experience with data tools and frameworks, including MLFlow, Spark, Kafka, Hive, and Hadoop.</li><li>
Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).</li><li>
Key must have skill sets &ndash; Python, SQL, Databricks, AWS Data Services, Qlik, PowerBI</li><li>
Strong written and verbal communication skills to interact with internal and external stakeholders.</li><li>
Proficiency in the following Microsoft applications: Word, Excel, PowerPoint, Outlook.</li><li>
Experience building and maintaining trusting client relationships and prioritizing demands.</li><li>
Must be a self-starter with the ability to work effectively independently.</li><li>
Proven ability to support and coordinate multiple projects simultaneously in a deadline-driven process.</li><li>
Ability to work remotely and onsite as needed at USCG HQ in Washington, DC.</li><li>
Must hold U.S. Citizenship</li></ul>
Preferred Experience<ul><li>
Relevant experience in direct support of the US Coast Guard, Government Agencies supporting defense, Homeland Security.</li><li>
Understanding of project management methodologies and tools (Agile, Scrum, PMBOK, Microsoft Planner, Jira, Kanban, best practices, tools, and templates).</li><li>
Capability to manage projects of high complexity and to direct the completion of projects within estimated timeframes and resource constraints.</li><li>
Ability to recognize new business development opportunities.</li></ul>
Transferable Skills for Management Consulting<ul><li>
Problem solving and critical thinking.</li><li>
Thinking &lsquo;two steps ahead&rsquo; and being prepared for what the client will need next.</li><li>
Taking initiative instead of waiting to be told what to do.</li><li>
Managing multiple tasks and prioritizing according to importance.</li><li>
Flexibility to pivot and adapt to changes in direction of new things.</li><li>
Considering the details and ensuring accuracy in the small things.</li><li>
Building rapport with colleagues and clients. Developing a reputation as someone who is responsive and trustworthy.</li></ul> 
JPI is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.</div>

Data Functional Expert

Bright Star Solutions LLC

About Bright StarBright Star is a forward-thinking technology consultancy that specializes in harnessing the power of data and AI to solve complex business challenges. Our team of experts combines deep technical expertise with strategic insight to deliver innovative solutions that drive meaningful impact for our clients.Role DescriptionWe are seeking a Data Architecture Analyst to support the Data Analytics and Assessment Team (DAA) within the Bureau of Diplomatic Technology at the Department of State. The DAA team is looking for a highly motivated professional with expertise in data architecture, evaluation, and analysis. Our team is results-oriented and committed to delivering innovative technological solutions that address complex challenges. We prioritize usability, user experience, and thoughtful design in all our applications. By leveraging modern design principles and project management methodologies, including rapid prototyping and agile development, we are redefining expectations for government technology. Our approach ensures that solutions are intuitive, effective, and aligned with business objectives.Key ResponsibilitiesSummary: Acquires data from diverse sources and maintains databases, data warehouses, and data lakes to support Department mission requirements. Develops and implements scalable data collection systems, ensuring data is organized, normalized, and accurate to enable reliable analysis, reporting, and decision-making.&middot; Develops and maintains conceptual, logical, and physical data models aligned with agency enterprise architecture and mission needs.&middot; Documents data flows, interfaces, and system relationships to support integration, interoperability, and modernization efforts.&middot; Performs data governance activities, including metadata management, data standards, and data quality assessments.&middot; Collaborate with system owners, program teams, and security staff to ensure data architecture complies with federal policies, privacy, and security requirements.&middot; Contributes to cloud and shared services initiatives by identifying opportunities for data reuse, consolidation, and improved accessibility.Required Qualifications<ul><li>Bachelor's degree in Information Technology, Computer Science, Systems Engineering, Architecture, or a related field; may accept additional equivalent experience in lieu of degree</li><li>8+ years of experience in IT architecture, systems analysis, or a related discipline</li><li>Experience with enterprise architecture frameworks (e.g., TOGAF, DoDAF, FEAF, Zachman)</li><li>Familiarity with business process modeling, requirements gathering, and systems integration</li><li>Understanding of IT infrastructure, software development life cycles, and cloud technologies</li><li>Knowledge of data management, cybersecurity principles, and interoperability standards</li><li>Familiarity with Authority to Operate (ATO) processes and related security compliance requirements</li><li>Proficiency with architecture modeling tools (e.g., Sparx EA, Visio, ArchiMate)</li><li>Ability to translate business needs into technical requirements</li><li>Excellent written and verbal communication skills for preparing reports, briefings, and presentations</li><li>Ability to work independently as well as in a team environment</li><li>Active Secret Clearance required</li></ul>Preferred Qualifications&middot; Department of State experience&middot; Prior government experience&middot; Security certifications (e.g., CISSP)Job DetailsJob Type: Full-timeBenefits:&middot; 401(k)&middot; 401(k) matching&middot; Dental insurance&middot; Health insurance&middot; Paid time off&middot; Vision insuranceExperience:&middot; Data Architecture: 8+ yearsAbility to Commute:&middot; Washington, DC (Preferred)Ability to Relocate:&middot; Washington, DC: Relocate before starting work (Preferred)Work Location:&middot; Hybrid remote in Washington, DCPhysical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.&middot; Regularly required to sit, talk, and hear&middot; Frequently required to use hands to finger, handle, or feel objects, tools, or controls&middot; Occasionally required to stand, walk, and reach with hands and arms&middot; Occasionally lift and/or move up to 15 pounds&middot; Specific vision abilities include close vision, distance vision, and ability to adjust focus&middot; Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functionsEqual Employment OpportunityBright Star is an Equal Opportunity Employer.Job Type: Full-timePay: $150,000.00 - $170,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>What is your experience supporting the Department of State? What is your experience supporting an enterprise IT office? Be detailed and specific.</li></ul>Security clearance:<ul><li>Secret (Required)</li></ul>Work Location: In person

Data Architecture Analyst

Esri

<div>Overview

In this position, you will partner with customers on enterprise database design and implementation strategies while applying Esri technology best practices. You will consult with customers to understand business and technical requirements, design enterprise data management strategies, and implement those strategies throughout the engagement life cycle. You will work both independently and as part of project teams to configure back-end geospatial database management capabilities that support customer workflows utilizing ArcGIS web, desktop, and mobile applications.

This team supports Defense and Intel clients. You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference in communities around the world. You will be part of a team that influences lasting contributions for communities with the solutions you provide.

The Professional Services division is the consulting and implementation arm of Esri. We break ground in new markets, push the technology envelope and deliver transformational solutions to high profile clients worldwide. The Professional Services organization is comprised of nearly 1,000 talented business and technical professionals who strive every day to help our users be successful.

Esri has a Relocation Assistance Program and can provide support with relocating to the Vienna, VA area for this position.

Responsibilities
<ul>
<li>Design and implement robust, scalable, and secure database solutions to support mission-critical applications</li>
<li>Collaborate with cross-functional teams during all phases of implementation including requirements, analysis, design, build/configuration, and deployment</li>
<li>Configure and maintain database environments, including backup, restore, high-availability, and disaster recovery strategies</li>
<li>Monitor and tune database performance using industry-standard tools and methodologies (such as query optimization, indexing strategies)</li>
<li>Implement data security measures, access controls, and compliance standards across environments</li>
<li>Automate routine database loading, maintenance, and monitoring tasks to improve efficiency</li>
<li>Provide technical guidance and best practices for database design, migration, and integration projects</li>
</ul>
Requirements
<ul>
<li>5+ years of hands-on experience in database design, administration, and optimization for Oracle, SQL Server, PostgreSQL, or SAP HANA</li>
<li>Familiarity with database design principles, data loading techniques, backup and recovery solutions, performance monitoring and tuning, database maintenance, and security</li>
<li>Scripting skills in SQL and Python for automation and data workflows</li>
<li>Exposure to geospatial concepts such as spatial data types, coordinate systems, and spatial indexing</li>
<li>Ability to clearly communicate complex technical concepts to technical peers and non-technical project managers or customers</li>
<li>US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility</li>
<li>Bachelor's degree in computer science, mathematics, GIS, or related STEM field</li>
</ul>
Recommended Qualifications
<ul>
<li>Experience with ArcGIS Enterprise geodatabases</li>
<li>Knowledge of integrating GIS with other enterprise systems</li>
<li>CompTIA Security + certification</li>
<li>One or more industry-standard IT certifications (such as Esri, Microsoft, Amazon, PostgreSQL, Oracle)</li>
<li>Master`s degree in computer science, mathematics, GIS, or related STEM field</li>
</ul>
#LI-SS2<div>
The Company

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.

If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!

Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.</div></div>

Technical Consultant- Enterprise Data Engineer

Amtrak

<div>Your success is a train ride away!
As we move America&rsquo;s workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. 
Are you ready to join our team?
Our values of &lsquo;Do the Right Thing, Excel Together and Put Customers First&rsquo; are at the heart of what matters most to us, and our Core Capabilities, &lsquo;Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety &amp; Security&rsquo; are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future. 
COMPANY: National Railroad Passenger Corporation (Amtrak) 
TITLE: Senior Principal Data Engineer 
LOCATION: Washington, D.C. 
DUTIES: Lead the technological advancement and architecture of data-driven solutions across multiple departments including Operations, Finance, Safety, Marketing, and IT. Spearhead the design, development, and delivery of end-to-end solutions on contemporary technology platforms. Oversee designing data ingestion, transfer, and consumption processes that are cost-effective and performance efficient. Act as a Subject Matter Expert (SME) for key and critical source systems to offer essential guidance and mentorship to the Development, Testing, Implementation, and Support teams. Adapt and enhance solutions to meet evolving requirements, ensuring alignment with business objectives. 
REQUIREMENTS: Bachelor's degree or equivalent in Computer Science, Computer Information Systems, or a related field followed by seven (7) years of progressive, post-baccalaureate experience as a Senior Principal Data Engineer or any occupation related to Software Development. Must also have seven (7) years of experience: (1) Building solutions using the following technologies: Informatica Data Quality, Informatica MDM, Erwin, and Informatica Power Center; (2) Administering applications in UNIX, LINUX, and Windows environments; (3) Writing and executing scripts in Perl; (4) Implementing solutions on AWS leveraging identity resolutions, data lake, metadata, and data governance; (5) Performing data migrations, cleansing, integration, and normalization for data warehouses; (6) Creating customized Master Data Management (MDM) and IDD solutions. All experience may be acquired concurrently. Remote work permitted in accordance with company policy. All positions require pre-employment background check verification and a pre-employment drug screen. 
SALARY: $175,427 to $215,100 per year 
CONTACT: To apply,https://bit.ly/4cS8dSO Please reference Job Code: 7705232.
Requisition ID:166139 
Posting Location(s):District of Columbia
 Job Family/Function:Information Technology 
Relocation Offered:No 
Travel Requirements:0 - 5%
You power our progress through your performance. 
We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. 
Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen.
Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. 
 
In accordance with DOT regulations (49 CFR &sect; 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. 
In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. &sect;1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. 
Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law..</div>

Senior Principal Data Engineer

Interaslabs

&lt;Overview&gt; Ignite your career as a Senior AWS DevOps Engineer, where you will lead the design, implementation, and management of cloud infrastructure solutions that power innovative enterprise applications. This role offers an exciting opportunity to leverage cutting-edge technologies to optimize system performance, enhance security, and streamline deployment processes across complex distributed systems. Join a dynamic team committed to continuous improvement and technological excellence, driving impactful results in a fast-paced environment.&lt;Responsibilities&gt;<ul><li>Architect, deploy, and maintain scalable cloud infrastructure solutions utilizing AWS services such as S3, DynamoDB, EC2, and VPCs, ensuring high availability and disaster recovery readiness.</li><li>Develop and implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, and Ansible to automate provisioning and configuration management across diverse environments.</li><li>Manage containerized applications with Docker and Kubernetes, orchestrating microservices architectures for seamless deployment and scaling.</li><li>Integrate CI/CD pipelines using Jenkins, GitLab CI, or TFS to automate software build, testing, and deployment processes aligned with SDLC best practices.</li><li>Monitor system health and application performance through tools like New Relic, Splunk, and Elasticsearch; perform log analysis to troubleshoot issues proactively.</li><li>Ensure cloud security through proper identity &amp; access management (IAM), firewall configurations, encryption protocols, and compliance standards.</li><li>Collaborate with development teams on requirements gathering for enterprise software projects; support software troubleshooting and incident recovery efforts.</li></ul>&lt;Experience&gt;<ul><li>Extensive hands-on experience with cloud computing platforms such as AWS, Google Cloud Platform, or Azure in enterprise environments.</li><li>Proven expertise in DevOps practices including continuous integration/delivery (CI/CD), automated testing, release management, and system testing.</li><li>Strong background in scripting languages like Python, Bash (Unix shell), PowerShell, Groovy, Perl, Ruby, and Go for automation tasks.</li><li>Deep understanding of IT infrastructure components including virtualization (VMware), containerization (Docker), open-source orchestration tools (Kubernetes), and virtualization platforms like OpenStack.</li><li>Familiarity with enterprise middleware such as WebSphere, Weblogic, JBoss; experience with application servers is highly desirable.</li><li>Knowledge of database systems including MySQL, Microsoft SQL Server, Oracle; proficiency in SQL/PLSQL/T-SQL for data management.</li><li>Experience managing distributed systems over WAN/LAN networks; expertise in network administration including DNS, TCP/IP protocols and cloud security best practices.</li><li>Ability to troubleshoot complex issues involving software deployment failures or system outages; adept at incident management using tools like Jira or TFS. Join us if you&rsquo;re passionate about leveraging the latest cloud technologies to drive innovation! We&rsquo;re looking for a proactive problem solver who thrives in collaborative environments and is eager to lead transformative projects that shape the future of enterprise IT infrastructure.</li></ul>Pay: $55.00 - $60.00 per hourExpected hours: 40 per weekExperience:<ul><li>AWS CodeBuild: 10 years (Preferred)</li><li>AWS Codedeploy: 10 years (Preferred)</li><li>Amazon ECS: 10 years (Preferred)</li><li>AWS CloudFormation: 10 years (Preferred)</li><li>AWS ​C​DK: 10 years (Preferred)</li><li>AWS Networking tools: 10 years (Preferred)</li></ul>License/Certification:<ul><li>AWS Certified Solutions Architect &ndash; Professional (Preferred)</li><li>AWS Certified DevOps Engineer &ndash; Professional (Preferred)</li><li>AWS Certified Developer &ndash; Associate (Preferred)</li></ul>Work Location: In person

Senior AWS DevOps Engineer

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