data engineer

Net2Source (N2S)

<div>
 
 
 Role name: Data Engineer Studio Economics
 
 
 
 
 Work site: Burbank, CA (Onsite local only )
 
 
 
 
 
 
 
 
 
 
 
 
 Type : W2 only
 
 
 
 
 
 &bull; Hands on experience in Data Engineering with Python
 
 
 &bull; Strong SQL Skillset
 
 
 &bull; Exp in AWS
 
 
 &bull; Exp in Snowflake -----
 
 
 &bull; Data Engineer-Seven to Ten Years,PYTHON
 
 
 &bull; Seven to Ten Years,Snowflake-Seven to Ten Years -----
 
 
 &bull; Hands-on experience with Snowflake (SQL, data modeling, views, tasks, warehouse optimization).
 
 
 &bull; Solid understanding of ETL/ELT concepts, data pipelines and cloud-based data platforms.
 
 
 &bull; Proficiency in SQL and experience working with structured datasets.
 
 
 &bull; Experience building data integrations between systems (APIs, connectors, ETL tools or JDBC-based pipelines).
 
 
 &bull; Familiarity with source control tools (Git) and collaborative development practices.
 
 
 &bull; Strong problem-solving skills, attention to detail and ability to work independently.
 
</div>

Data Engineer

Informatica

<div><h2 class="jobSectionHeader">Description</h2>
DATA ENGINEER
Mexico City
About the Role
We&rsquo;re building the product data platform that will power Salesforce&rsquo;s next era of agentic intelligence &mdash; delivering smarter, adaptive, and self-optimizing product experiences.
As a Full-Stack Data Engineer, you&rsquo;ll design and build scalable systems that process hundreds of thousands of context-rich product signals. These signals fuel analytics, customer-facing products, ML models, and autonomous agents.
You&rsquo;ll work on:<ul><li>Near real-time and batch telemetry pipelines for trusted signal capture</li><li>Semantic layers and data products for reusable insights</li><li>Programmatic discovery via metadata, MCP, and knowledge graphs</li></ul>
This isn&rsquo;t a typical data engineering role. We&rsquo;re looking for creative, systems-minded engineers working outside of the &ldquo;data engineer&rdquo; box, fluent in both data and AI, and excited to navigate ambiguity, cross boundaries, and drive real impact.
What You&rsquo;ll Do<ul><li>Build and scale fault tolerant batch and streaming data pipelines using Spark, Trino, Flink, Kafka, DBT</li><li>Design programmatic consumption layers to make product signals easy to define, discover, and reuse</li><li>Apply software engineering best practices to data systems: testing, CI/CD, observability</li><li>Evolve systems to support not just human analysis, but autonomous agent reasoning</li><li>Contribute to a trusted data foundation powering decisions, AI agents, and adaptive products</li><li>Collaborate across orgs with telemetry engineers, product leaders, data scientists, and AI builders</li></ul>
What We&rsquo;re Looking For<ul><li>Strong experience in data engineering, with strong software engineering fundamentals</li><li>Expertise with big data frameworks: Spark, Trino/Presto, DBT, Snowflake</li><li>Experience with streaming systems like Flink and Kafka, incl. distribution strategy (topics &amp; partitions)</li><li>Solid understanding of semantic layers, data modeling, and metrics systems</li><li>Experience with cloud infrastructure, particularly AWS (e.g., S3, EMR, ECS, IAM), Containerization
</li><li>Bonus: fluency in AI data engineering patterns and tools like MCP</li><li>Bonus: experience with knowledge graphs and modern metadata systems</li><li>Strong communicator and collaborator &mdash; comfortable working across teams and domains</li><li>Curious, pragmatic, and impact-driven mindset</li></ul>
Why Join Us
Help shape how Salesforce leads the digital labor revolution. You&rsquo;ll be at the heart of transforming raw product signals into intelligent decisions &mdash; for everyone from engineers to sales reps to AI agents. If you&rsquo;re excited to design resilient, trusted, and intelligent systems at scale, we&rsquo;d love to hear from you.</div>

Zones IT Solutions

<div>
 
 Description
 
 
 
 Company Overview:
 
 
 When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
 
 
 Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.
 
 
 Position Overview
 
 
 The Data Engineer will build and manage the end-to-end data ecosystem across pipelines, transformations, modeling, quality, and monitoring in an Azure-first environment. As the data engineer for the team, this role requires strong technical depth, full ownership, and the ability to support both operational and analytical data needs. The ideal candidate brings hands-on expertise with Azure Data Factory, Azure Databricks, Azure SQL, and integrations with APIs and Azure services, and is comfortable managing data pipelines, ensuring data quality, enabling security, and supporting Power BI datasets to deliver reliable and well-structured data to the business.
 
 
 
 What You&rsquo;ll Do As The Data Engineer
 
 
 
 Employees employed in the role of Data Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
 
 
 The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain data pipelines using Azure Data Factory for batch and incremental loads.
 </li>
 <li>
 Develop transformation workflows in Azure Databricks.
 </li>
 <li>
 Design and optimize Azure SQL schemas, tables, queries, indexes, and stored procedures.
 </li>
 <li>
 Integrate data from APIs, Logic Apps, and Function Apps, ensuring accuracy and consistency.
 </li>
 <li>
 Implement data quality, validation, and monitoring, with alerts and health checks for pipelines.
 </li>
 <li>
 Ensure data security and governance, including PII handling, access policies, and Key Vault.
 </li>
 <li>
 Collaborate with application and integration engineers on API-driven and event-driven data requirements.
 </li>
 <li>
 Support Power BI at a basic level (datasets, model optimization, refresh schedules)
 
 
 </li>
 </ul>
 
 What You Will Bring To The Team
 
 
 
 <ul>
 <li>
 Around 5 years of hands-on experience as a Data Engineer with end-to-end ownership of data pipelines and models.
 </li>
 <li>
 Strong expertise in:
 </li>
 <ul>
 <li>
 Azure Data Factory (ADF)
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure SQL
 </li>
 </ul>
 <li>
 Solid understanding of ETL/ELT patterns, data modeling, and orchestration.
 </li>
 <li>
 Comfortable integrating with APIs, Logic Apps, and Function Apps.
 </li>
 <li>
 Working knowledge of Power BI datasets and refresh management.
 </li>
 <li>
 Clear communication skills and the ability to work independently and cross-functionally.
 
 </li>
 </ul>
 Zones offers a comprehensive Benefits package
 
 
 At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
 
 
 We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
 
 
 All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
 
 
 Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)
 
 
</div>

Ovise

<div>
 
 
 Data Engineer &ndash; Real-Time Data &amp; Cloud (NYC Area/Fairfield County, CT)
 
 
 
 
 
 
 Ovise is partnered with a global, technology-led FinTech organisation looking for a
 
 Data Engineer
 
 to help build and scale a real-time data platform powering analytics and reporting.
 
 
 
 
 
 You&rsquo;ll design and develop
 
 scalable ETL pipelines
 
 , process high-volume streaming data, and build automated data solutions using modern cloud technologies.
 
 
 
 
 
 
 Hedge Fund or Big Tech candidates are highly desirable here.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and optimise
 
 ETL pipelines and data workflows
 
 </li>
 <li>
 Process streaming and large-scale datasets
 </li>
 <li>
 Develop data transformations using
 
 Python &amp; PySpark
 
 </li>
 <li>
 Design scalable
 
 data models and cloud-based data solutions
 
 </li>
 <li>
 Implement
 
 automation, monitoring, and data quality checks
 
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 3+ years&rsquo; experience in
 
 Python-based data engineering
 
 </li>
 <li>
 Strong experience with
 
 ETL, PySpark, Pandas or similar frameworks
 
 </li>
 <li>
 Experience with
 
 AWS data services (S3, Glue, Athena, EMR)
 
 </li>
 <li>
 Strong
 
 SQL and data modelling
 
 knowledge
 </li>
 <li>
 Experience working in
 
 Linux environments
 
 </li>
 </ul>
 
 
 
 
 
 Bonus:
 
 experience with real-time data, BI tools, or financial data environments.
 
</div>

Job Bank Recruitment Network

DATA ENGINEER &mdash; AI &amp; MODEL TRAININGJob Bank &mdash; AI Business Engine DevelopmentLocation: Remote (Pakistan) Language: Must speak Fluent EnglishSalary: Competitive &mdash; Based on Experience---About Job BankJob Bank is a UK‑focused platform helping people start recruitment and training businesses through two simple annual plans (&pound;100 &amp; &pound;200). We are now building Job Bank AI &mdash; a specialised AI system designed to help users create and scale their own recruitment or training business.Our AI ecosystem includes:<ul><li>Recruitment AI</li><li>Training &amp; Course AI</li><li>Business Builder AI</li><li>Marketing/Outreach AI</li><li>AI Assistants (Recruiter / Trainer / Business Coach / Operations)</li><li>Business Engine (AI Tool Suite)</li></ul>We are building a vertical AI platform, with deep industry‑specific intelligence &mdash; NOT a generic chatbot.This is your opportunity to become a foundational part of a fast‑growing AI product used across the UK.---Role OverviewWe are looking for a Data Engineer who can prepare, structure, clean and optimise datasets for AI fine‑tuning and retrieval systems.Your work will directly power:<ul><li>fine‑tuned recruitment models</li><li>training/course intelligence</li><li>business‑building AI</li><li>outreach and marketing AI</li><li>autonomous AI assistants</li><li>AI-driven games and simulations</li></ul>This role is crucial to the accuracy, reliability and performance of Job Bank AI.---Key ResponsibilitiesData Preparation &amp; Engineering<ul><li>Collect datasets related to recruitment, training, business planning, marketing, and operations</li><li>Clean and standardise raw data (text, CSV, JSON, documents)</li><li>Label and structure data into instruction formats for LLM training</li><li>Build datasets for fine‑tuning small/medium models</li><li>Develop evaluation datasets for model scoring</li></ul>Data Architecture &amp; Pipelines<ul><li>Build and maintain ETL pipelines for AI model ingestion</li><li>Create scalable data workflows to support training cycles</li><li>Manage datasets using tools like Pandas, PySpark or equivalent</li><li>Optimise dataset quality, consistency, and token efficiency</li></ul>Vector Databases &amp; Retrieval<ul><li>Work with embeddings and vector databases (FAISS, Chroma, Pinecone, Weaviate)</li><li>Build and maintain retrieval datasets for RAG systems</li><li>Ensure high‑quality indexing for search, scoring and assistant use</li></ul>AI Model Support<ul><li>Support AI/ML engineers during fine‑tuning cycles</li><li>Prepare domain‑specific datasets for niche models</li><li>Validate and test model outputs against evaluation sets</li><li>Assist with dataset revisions and incremental model improvements</li></ul>Collaboration<ul><li>Work with AI Engineers to support model training</li><li>Work with Full‑Stack Developers to integrate datasets into the platform</li><li>Work directly with the founder to align on roadmap and priorities</li></ul>---Technical Skills (Must Have)Data Engineering<ul><li>Data cleaning, validation, normalisation</li><li>ETL pipeline development</li><li>JSON, CSV, XML processing</li><li>Strong Python (Pandas, NumPy)</li><li>Experience with large text datasets</li><li>Dataset versioning and quality control</li></ul>AI/Data Skills<ul><li>Experience preparing datasets for LLM fine‑tuning</li><li>Understanding of instruction tuning formats</li><li>Embeddings &amp; vector stores (FAISS, Pinecone, Chroma)</li><li>RAG data preparation</li><li>Working knowledge of tokenisation and dataset optimisation</li></ul>General<ul><li>Strong attention to detail</li><li>Ability to work quickly and independently</li><li>Fluent English communication skills</li><li>Experience supporting AI development teams</li><li>Ability to think like a product-focused engineer</li></ul>---Bonus Skills (Nice to Have)<ul><li>Experience with recruitment or training datasets</li><li>Knowledge of course design or HR workflows</li><li>Familiarity with LangChain, LlamaIndex, or similar</li><li>Exposure to machine learning pipelines</li><li>Experience working with international/remote teams</li></ul>---What We Offer<ul><li>Competitive salary (based on expertise)</li><li>Long‑term role with growth potential</li><li>Work on a high‑impact AI product</li><li>A stable, ambitious product roadmap</li><li>Flexible remote working</li><li>Supportive, fast‑paced, visionary team</li><li>Opportunity to build category‑defining AI</li></ul>---Why This Role MattersYou will be the engine behind our AI intelligence. Your datasets will shape:<ul><li>how accurately the AI writes job ads</li><li>how well it scores CVs</li><li>how intelligent the business plans are</li><li>how powerful the training/courses become</li><li>how effective the assistants behave</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: Remote

COMMERCIAL BANK OF CALIFORNIA

<div>Data Engineer
Location: Irvine, CA 
Job Type: Full-Time | Exempt | Hybrid Eligible 
Salary Range: $150,000 &ndash; $170,000 per year
About Commercial Bank of California
Commercial Bank of California (CBC) is the largest Latino-owned bank in California and a certified Minority Depository Institution (MDI). Headquartered in Irvine and founded in 2003, CBC is one of the largest privately held banks in the state, with over $3.5 billion in assets as of December 2025.
We are a purpose-driven financial institution committed to building long-term relationships and delivering innovative, personalized banking solutions. Our leadership reflects the diverse communities we serve, and our mission is rooted in empowering entrepreneurs, business owners, and community leaders to thrive.
As a certified MDI, CBC is proud to play a vital role in advancing financial inclusion and economic opportunity. We believe in a higher vision for banking&mdash;one that prioritizes trust, collaboration, and community impact. Join us and be part of a team that&rsquo;s redefining what it means to be a community-focused, relationship-driven bank that puts people over profits.
Job Summary
The Data Engineer is responsible for designing, building, and operating modern, scalable, and governed data platforms that enable enterprise analytics, reporting, and advanced data use cases. With 10+ years of hands on data engineering experience, this role acts as a senior individual contributor and technical leader, owning data architecture, pipelines, governance, and analytics ready data models across cloud platforms.
This role has a strong emphasis on analytics engineering, ensuring that data is not only ingested and processed, but modeled, curated, and governed for high quality business intelligence and analytical consumption. You will work extensively with Microsoft Fabric, Azure Databricks, Unity Catalog, and lakehouse technologies.
Essential Duties and Responsibilities
Data Platform &amp; Architecture<div><ul><li>
Architect and maintain enterprise‑scale data platforms using Microsoft Fabric, Azure Data Lake, Azure Synapse, and Azure Databricks.</li><li>
Design and implement lakehouse architectures and analytics‑optimized data layers to support BI, self‑service analytics, and advanced reporting.</li><li>
Define platform standards for data ingestion, transformation, storage, and analytics consumption across the organization.</li></ul></div>
Data Engineering &amp; Pipelines<div><ul><li>
Build, optimize, and operate reliable batch and streaming data pipelines using Databricks, Fabric Data Pipelines, and Azure‑native services.</li><li>
Implement scalable ETL/ELT frameworks with strong data quality, validation, and observability.</li><li>
Ensure pipelines are resilient, performant, and cost‑efficient in production environments.</li></ul></div>
Analytics Engineering &amp; Data Modeling<div><ul><li>
Design and maintain analytics‑ready data models (star, snowflake, and dimensional models) to support Power BI and enterprise BI use cases.</li><li>
Develop curated, trusted datasets and semantic layers that enable consistent metrics and reporting across the business.</li><li>
Partner closely with analysts, BI developers, and business stakeholders to translate analytical requirements into scalable data solutions.</li></ul></div>
Governance, Security &amp; Unity Catalog<div><ul><li>
Implement and manage Databricks Unity Catalog for centralized data governance, lineage, access control, and auditing.</li><li>
Enforce best practices for data security, role‑based access, and data classification across platforms.</li><li>
Ensure compliance with enterprise data governance and regulatory requirements.</li></ul></div>
DevOps, CI/CD &amp; Reliability<div><ul><li>
Design and manage CI/CD pipelines for data engineering workloads using Azure DevOps.</li><li>
Apply best practices for version control, automated testing, environment promotion, and deployment.</li><li>
Monitor production data systems to ensure high availability and operational stability.</li><li>
Experience in databricks asset bundles (DAB) is preferred</li></ul></div>
Cross‑Platform &amp; Modern Analytics Experience<div><ul><li>
Work across modern analytics ecosystems, integrating Azure‑based platforms with other cloud data technologies as needed.</li><li>
Leverage experience with Snowflake (architecture, data modeling, performance optimization) as a plus in hybrid or multi‑platform analytics environments.</li></ul></div><div>
Minimum Qualifications</div><div><ul><li>
10+ years of experience in data engineering, analytics engineering, or data platform development.</li><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field (Master&rsquo;s preferred).</li><li>
Deep hands‑on experience with:<ul><li>
Microsoft Fabric (Lakehouse, OneLake, Data Pipelines, Semantic Models)</li><li>
Azure Databricks, including Unity Catalog</li><li>
Data modeling for analytics and BI</li><li>
Azure DevOps (CI/CD, Git, automated deployments)</li><li>
Business Intelligence platforms, especially Power BI</li></ul></li><li>
Advanced proficiency in SQL and strong experience with Python / Spark‑based development.</li><li>
Proven ability to deliver analytics‑ready, production‑grade data solutions.</li></ul></div>
Preferred Qualifications<div><ul><li>
Experience with Snowflake (data modeling, analytics workloads, performance tuning) a plus.</li><li>
Background in financial services or regulated enterprise environments.</li><li>
Experience supporting self‑service analytics and governed data democratization.</li><li>
Snowflake experience considered a strong plus.</li><li>
Familiarity with data quality, metadata management, and lineage tooling.</li><li>
Microsoft certifications such as:</li><li>
Azure Data Engineer Associate (DP‑203)</li><li>
Microsoft Fabric Analytics Engineer (preferred)</li></ul></div>
Benefits &amp; Perks<div><ul><li>
Competitive employer contribution to medical, dental and vision coverage</li><li>
401k plan with employer match</li><li>
Flexible Spending Accounts (FSA) and Dependent Care Accounts</li><li>
Employee Assistance Program (EAP)</li><li>
Employer provided Calm subscription</li><li>
Employer provided mental health benefits through Teladoc</li><li>
Life, AD&amp;D and disability insurance</li><li>
Minimum 15 Days of Vacation, 11 Paid Federal Holidays, Paid Time off to Volunteer</li><li>
Online discount program</li><li>
Tuition Reimbursement Program</li></ul></div>
Join Our Team!<div><ul><li>
Submit your resume to Apply to Your Position Here</li></ul></div>
Equal Employment Opportunity &amp; Accommodations
Commercial Bank of California is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified individuals will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other legally protected characteristic.
We evaluate applicants fairly and equitably, including those with criminal histories, in accordance with applicable federal, state, and local laws.
Commercial Bank of California is also committed to providing reasonable accommodations to individuals with disabilities. If you require a reasonable accommodation during the application or interview process, please contact us at hr@cbcal.com with the nature of your request and your contact information. 
Recruitment Policy
Commercial Bank of California does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to CBC, either directly or indirectly, will be considered the property of Commercial Bank of California.
We will not pay a fee for any placement resulting from the receipt of an unsolicited resume. To submit candidates for consideration, recruiting agencies must have a valid, written, and fully executed agreement with Commercial Bank of California. Without such an agreement in place, no agency submissions will be accepted or compensated.</div>

Sev1tech, Inc.

<div>Overview/ Job Responsibilities:

Sev1Tech is looking for a Data Engineer for the Naval Supply Systems Command (NAVSUP) Ordnance Information System (OIS) to provide technical expertise on a mission-critical program whose purpose is to develop, modernize, enhance, operate, and maintain services for OIS mission critical systems. 
As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and Administrators and focus on designing, building, deploying, and maintaining data architectures and databases in the AWS GovCloud environment. 
This position is on-site in a secured space 5 days/week and can be filled in either Mechanicsburg, PA, OR Yorktown, VA.<div></div><div> 
Primary Responsibilities:</div>
The Data Engineer will be responsible for the following:<ul><li>
Develop, construct, test, and maintain high performance, scalable, and stable data architectures for OIS, such as databases and large-scale processing systems, and migrate data from on-premises databases to cloud-based solutions, transforming the data as required.</li><li>
Develop and maintain scalable data pipelines and build out new API integrations, ensure that data pipelines are scalable, repeatable, and secure.</li><li>
Implement and manage databases and data delivery systems and transform them into insights, analysis, and reporting.</li><li>
Identify, research, design, develop, and promote solutions that enhance the modern development environment to ensure systems meet business requirements and industry best practices.</li><li>
Implement the data extraction, data load, and database synchronization routines and functions ETL.</li><li>
Implement data governance and quality controls and monitor ETL/ELT jobs to ensure performance and halt any potential issues.</li><li>
Improve system performance by conducting tests, troubleshooting, and integrating new elements and ensure all data platform solutions adhere to confidentiality and privacy requirements.</li><li>
Collaborate with data scientists, architects, and other stakeholders to ensure that the data infrastructure supports required functions and performance metrics.</li><li>
Design, model, document, and guide the logical and conceptual relationship of data and database changes.</li><li>
Document data architecture and systems for both technical teams and non-technical stakeholders.</li><li>
Perform technical planning, system integration, verification and validation, cost and risk assessments.</li></ul>
Minimum Qualifications:
<ul><li>Must have DOD Top Secret level clearance to start (T5 background investigation); U.S. Citizen required only for Federal Clearance Requirement</li><li>
Certification Requirements: Directive 8570.1/8140 - IAT II:
<ul><li>Baseline Certification: Security+
</li><li>Computing Environment Certification: AWS Certified Solutions Architect or AWS Certified Data Engineer or similar equivalent Cloud environment certification or Oracle Database Certified Associate or equivalent Database Certification (highly preferred to have in hand upon applying; if not, must obtain within 3 months of start)</li></ul></li><li>
BA/BS (in Engineering, Computer Science or related field) or equivalent experience and 10+ years of prior relevant experience or master&rsquo;s with 8+ years or prior relevant experience.</li><li>
Experience with implementing data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools (e.g., Pentaho)</li><li>
Experience with developing and administrating in PostreSQL</li><li>
Strong proficiency in SQL and experience with other querying languages.</li><li>
Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon Aurora DB, Postgres, or MySQL</li><li>
Proven, hands‑on expertise in data modeling, schema design, and database optimization, with the ability to design, implement, and optimize complex data structures in production environments.</li><li>
Knowledge of data security and compliance best practices.</li><li>
Excellent verbal and written communication skills, with the ability to interact effectively with technical and non-technical stakeholders.</li><li>
Must be a self-starter and have the ability to work independently with little supervision.</li></ul>
Desired Qualifications:
<ul><li>Experience with GitLab, Liquibase, CI/CD pipelines highly preferred</li><li>
Experience with big data technologies such as Apache Hadoop, Spark, Kafka, Debezium, RabbitMQ, etc.</li><li>
Demonstrated experience in network and cyber security design, engineering and operations with emphasis on Navy capabilities</li><li>
Navy experience</li><li>
Experience with cloud data services (e.g., AWS, Azure, GCP)</li><li>
Experience with Cloud Relational Database Services (e.g, AWS RDS, Aurora DB)</li><li>
SAFe experience and knowledge</li><li>
Experience with Data warehousing and Business Intelligence tools such as RedShift, MicroStrategy, Erwin Data Modeler, etc.</li><li>
Experience with one or more programming languages like Python, Java, Scala, or Go.</li></ul>
About Us:
<div>
Welcome to Sev1Tech! Founded in 2010, we are proud to be a leading provider of IT modernization, engineering, and program management solutions. Our commitment is to deliver exceptional program and IT support services that empower critical missions for both Federal and Commercial clients.</div><div></div><div> 
At Sev1Tech, our mission is clear: Build better companies. Enable better government. Protect our nation. Build better humans across the country. We believe that through innovation and dedication, we can make a significant impact on the communities we serve.</div><div></div><div> 
Join the Sev1Tech family, where your potential for greatness is limitless! Here, you will not only achieve remarkable accomplishments but also enjoy a fulfilling and rewarding career progression. We invite you to explore opportunities with us and become part of a team that values your contributions and growth.</div><div></div><div> 
Ready to take the next step? Apply directly through our website: Sev1Tech Careers and use the hashtag #joinSev1Tech to connect with us on social media!</div><div></div><div> 
For any additional questions or to submit referrals, feel free to reach out to recruiting@sev1tech.com.</div></div>

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