database engineer

Appian

<div>
 
 Here at Appian, our values of
 
 Intensity
 
 and
 
 Excellence
 
 define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you&rsquo;ll be part of a passionate team dedicated to accomplishing hard things, together.
 
 
 &nbsp;
 
 
 Database Engineers in Appian&rsquo;s Public Sector Customer Success department build the scalable foundation behind mission-critical systems that power the world&rsquo;s most demanding enterprises and government organizations.
 
 
 
 Location:
 
 McLean, VA |
 
 Work Model:
 
 In-Office / Hybrid
 
 
 About the Team
 
 
 Appian&rsquo;s Customer Success Public Sector team builds mission driven solutions that ensure peak performance, high availability, and data security for key Department of War (DoW) initiatives. We empower government organizations to modernize legacy systems using AI-Powered Process Automation and Enterprise-Grade Orchestration, ensuring seamless data access at scale.
 
 
 The Opportunity
 
 
 As a Database Engineer, you will design, develop, and maintain a complex data architecture to support our long-term DoW efforts.&nbsp; With extensive experience with Relational Database Management Services (RDMS) and NoSQL databases, you will architect a data architecture for the program that will be capable of handling extremely large datasets, migrate legacy data into the modern architecture, and ensure high availability and performance for the systems being implemented.
 
 
 What You&rsquo;ll Do
 
 <ul>
 <li>
 Design and develop database architectures and data models to support the customer&rsquo;s contract requirements by working closely with the Appian team to build logical and physical data models.
 </li>
 <li>
 Analyze legacy database structures to identify incompatibilities, data type mismatches, and migration risks before moving workloads to the cloud.&nbsp;
 </li>
 <li>
 Convert legacy stored procedures, triggers, views, and functions into target-compatible languages (such as PL/SQL or SQL), rewriting logic.
 </li>
 <li>
 Identify and update hardcoded SQL queries within application source code to ensure compatibility with the new database engine.&nbsp;&nbsp;
 </li>
 <li>
 Establish ETL functions to clean, transform, and transport legacy data into the new application environment.
 </li>
 <li>
 Configure, implement, and monitor enterprise database clusters
 </li>
 <li>
 Tune database objects for performance, and create indices on tables as needed.
 </li>
 <li>
 Integrate existing and new database objects into CI/CD pipelines to improve code reliability and consistency.
 </li>
 <li>
 Set up source control for database architecture code, stored procedures, and ETL objects.
 </li>
 <li>
 Develop complex data generation scripts used for automated functional and performance testing efforts.
 </li>
 </ul>
 
 Required Qualifications
 
 <ul>
 <li>
 
 Bachelor&rsquo;s Degree:
 
 B.S. or B.A. in Computer Science, Engineering, Information Systems, Mathematics, or a related technical field.
 
 (Note: Degree is strictly required).
 
 </li>
 <li>
 
 Experience:
 
 1+ years of professional experience in data engineering, including hands-on experience designing, planning, and implementing tables, views, stored procedures, and functions.
 </li>
 <li>
 
 Core Technical Skills:
 
 Deep proficiency in both relational (RDBMS) and NoSQL database technologies, along with mastery of query languages including SQL, MQL, and CQL.&nbsp;&nbsp;
 </li>
 <li>
 
 Database Platforms:
 
 Professional experience designing, planning, and implementing new stored procedures, views, tables, and functions specified by business requirements.&nbsp;
 </li>
 <li>
 
 Core Technical Skills:
 
 &nbsp;Strong proficiency in both SQL and NoSQL database languages including SQL, MQL, CQL, etc.&nbsp; Hands-on experience technologies such as Microsoft SQL Server, MariaDB, Postgres, Oracle and AWS Cloud, Snowflake, Data Bricks.
 </li>
 <li>
 
 Security &amp; Clearance:
 
 Active DoD Secret Clearance (or ability to obtain). Must be a U.S. Citizen (required for Public Sector efforts).
 </li>
 <li>
 
 Travel:
 
 Willingness to travel up to 10% annually for customer engagement.
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 
 Cloud &amp; Security Certifications:
 
 AWS Certified Database Specialty, AWS Certified Solutions Architect, CompTIA Security+, or platform-specific certifications from Oracle or Microsoft.
 </li>
 <li>
 
 Migration Expertise:
 
 Demonstrated experience migrating complex schemas across database engines (e.g., Oracle to PostgreSQL/MariaDB or SQL Server to MySQL).
 </li>
 <li>
 
 DevOps &amp; Code:
 
 Familiarity with Python, Java, C#, XML, JSON, Jenkins, Azure DevOps, and RHEL8.
 </li>
 </ul>
 
 #DataEngineering #DatabaseEngineer #AWS #DoW #EnterpriseSoftware
 
 
 &nbsp;
 
 
 The base salary range provided represents a good faith and reasonable estimate of the range at the time of posting. In addition to the base salary, this position is eligible for a government clearance differential. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate&rsquo;s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards.&nbsp;Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.
 
 
 Base Salary Range: $75,000 USD - $175,000 USD
 
 
 
 
 Tools and Resources&nbsp;
 
 
 
 <ul>
 <li>
 
 Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires.&nbsp;
 
 </li>
 <li>
 
 Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities.
 
 </li>
 <li>
 
 Community: We&rsquo;ll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company.
 
 </li>
 </ul>
 
 
 
 Benefits
 
 
 
 
 Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country&mdash;please ask your Talent Acquisition contact for details specific to the location you are applying to.
 
 
 
 
 About Appian
 
 
 
 
 Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We&rsquo;ve been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit appian.com. [Nasdaq: APPN]
 
 
 Follow Appian: LinkedIn, Youtube, Instagram, Facebook
 
 
 
 Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.&nbsp;
 
 
 
 
 Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at&nbsp;ReasonableAccommodations@appian.com. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
 
 
 
 
 Appian's Applicant &amp; Candidate Privacy Notice&nbsp;&nbsp;
 
 
</div>

Database Engineer

VIVA

<div>The client is seeking one full-time Database Engineer.
 
 
As an Azure Database Engineer, this position will participate in the analysis, design, development, implementation, and potentially ongoing support of Azure Databases and Data Lakes, with a primary focus on the Data Lakehouse and its integrated data reserves. The responsibilities will include administering, maintaining, and securing data to ensure efficient and reliable data storage solutions. The position will collaborate with cross-functional teams to optimize data workflows, support data-driven decision-making, and implement best practices for data security and integrity in Azure environments. This position also will provide mentorship to other Database Engineers.
 
 
Sample Tasks
 
Develop and implement relational and non-relational databases in Azure.
 
Develop and implement data transformations.
 
Ensure data access patterns are optimized.
 
Maintain necessary documentation.
 
Coordinate with necessary teams to meet security standards.
 
Implement disaster recovery solution.
 
Provide knowledge transfer.
 
 
Desired Qualifications
 
Experience with designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
 
Experience with Databricks.
 
Experience with Oracle databases.
 
Strong experience developing and implementing data transformation solutions and cloud infrastructure integration.
 
Strong experience coding and testing programs and scripts to load data using Azure data load utilities.
 
Strong experience with CI/CD pipelines.
 
Experience with cloud computing concepts.
 
Experience with tools such as Azure Monitor, Azure Data Factory, SQL Analytics, Query Performance Insight, Azure Resource Manager, and Azure CLI/PowerShell for infrastructure management.
 
Experience in mentoring others in the needed technologies.
 
Experience developing and implementing backup and recovery strategies using tools such as Azure Backup or Geo-replication.
 
Experience with role-based access control, encryption, and network security.
 
Strong organizational and time management skills.
 
Desired 7 years&rsquo; experience designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
 
Knowledge of data concepts, data modeling, schema design, and indexing strategies.
 
Knowledge of Azure SQL instances, managed instances, and elastic pools.
 
Knowledge of Data Warehouse Administration and Teradata Data Warehouse. 
 
 
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</div>

Azure Database Engineer

Sparksoft Corporation

<div><div>Join us at Sparksoft, where we're not just another tech company&mdash;we're a catalyst for change. Our mission isn't just to offer IT solutions; it's to revolutionize the way you work. Here, passion isn't just a buzzword; it's the fuel behind groundbreaking ideas and transformative technologies. We serve a wide range of government clients, delivering impact that's felt across the nation.

Our true strength lies in our people. They're the problem-solvers and innovators consistently delivering extraordinary outcomes. With Sparksoft, you're not stepping into a routine job; you're joining a team committed to innovation and excellence. Our innovation extends beyond just delivering projects. Through our specialized Innovation Centers, we continuously refine our methods, ensuring we remain industry leaders.

We are Sparksoft!</div>
ROLE &amp; RESPONSIBILITIES: 


The Date Engineer plays a critical role in ensuring continuous improvement of the program's data quality through solutions and strategies to address business challenges and in designing, building and maintaining ETL pipelines to extract data from various sources supporting data integrity and best practices. The Data Engineer will work collaboratively with the product manager, product owners, business owners, and the data and reporting services teams to deliver business value in support of the Centers for Medicare &amp; Medicaid Services (CMS) in detecting and preventing fraud, waste, and abuse within government-sponsored health programs.
<ul>
<li>Analyze data from a variety of sources, identifying and correcting errors and inconsistencies, and developing and implementing processes to improve data quality.
</li><li>Ensure the accuracy, completeness, and reliability of APS data.
</li><li>Work with a range of data types, including structured and unstructured data, and use a variety of tools and techniques to analyze and improve data quality.
</li><li>Use tools and techniques such as statistical analysis, data cleansing and transformation tools, and data governance frameworks.
</li><li>Design, develop, test and release ETL solutions including data quality validations and metrics that follow data governance and standardization best practices.</li>
<li>Design, build, and maintain ETL pipelines to extract data from various sources, transform it into the desired format, and load it into target systems.</li>
<li>Define and implement data transformation logic to clean, aggregate, and structure data to meet business and analytical requirements. Ensure the quality and consistency of data in the ETL process by implementing data validation checks and handling exceptions.</li>
<li>Analyze and recommend optimal approach for obtaining data from diverse source systems.</li>
<li>Work closely with Database Administrator(s) and assist in supporting the data models, including data dictionaries/metadata registry.</li>
<li>Document processes, prepare reports, and make recommendations for process improvements.
</li><li>Develop new processes and procedures to enhance operations.
</li><li>Collaborate with other teams to implement changes or updates in the existing reports.
</li><li>Advanced Excel expertise required including use of pivot tables, formulas, conditional formatting, etc.
</li><li>Present responses and findings to business owners, customers, leadership.
</li><li>Provide support in ad-hoc analysis to meet customer needs.
</li><li>Performing statistical tests on large datasets to determine data quality and integrity.
</li><li>Collaborate with internal team to improve data collection and storage processes.
</li><li>Analyze and identify data quality issues, develop methods to address data quality problems.
</li><li>Review and understand artifacts related to data ingestion and transformation as it applies to data validation and analysis.
</li><li>Provide quality assurance reports using tools like Excel, SharePoint, Power BI, and Tableau.
</li><li>Streamlines internal processes focusing on organization support using tools like Excel, SharePoint, Power BI, and Tableau.
 </li><li>Performs ad hoc data analysis to support programmatic questions and stakeholder requests.</li>
<li> Works as part of a project team to determine project requirements, goals, implementation, and schedules.</li>
<li>Develop scripts and dashboards to monitor the accuracy and quality of data flow.</li>
<li>Maintain data accuracy and quality checks by monitoring/reviewing the dashboards and reports regularly.</li>
<li>Assess/evaluate to deliver timely data reporting, and data solutions against client requirements.</li>
<li>Ensure customer satisfaction through follow-up, client responsiveness, and thorough communication.</li>
<li>Participate in Agile ceremonies, such as sprint planning, daily stand-ups, and retrospectives, to provide input on testing progress and challenges.</li></ul> 


REQUIRED EXPERIENCE: 

<ul>
<li>4+ years of relevant experience
</li><li>Possess knowledge of Agile methodology (such as Scrum) and/or Scaled Agile Framework (SAFe).</li>
<li>Relevant experience in developing and maintaining scalable data pipelines and support.</li>
<li>Knowledge of databases (PostgreSQL, Oracle) and data modeling.
</li><li>2-4 years of experience of data analytics tools (like SQL, R, Python) and data visualization tools (like Tableau, PowerBI, AWS QuickSight).</li>
<li>Able to lead designing and implementation of data pipelines.</li>
<li>Excellent understanding of machine learning techniques and algorithms.</li>
<li>Experience with cloud computing tools such as AWS, Azure, and GCP.</li>
<li>Advanced Excel expertise required including use of pivot tables, formulas, conditional formatting, etc.
</li><li>Strong analytical mind with problem-solving aptitude.</li>
<li>Experience in automation and scripting.</li>
<li>Ability to communicate complex data in a simple, actionable way.</li>
<li>Excellent organizational and multitasking skills.</li>
<li>Ability to effectively transfer knowledge to other team members.</li>
<li>Ability to work in a fast-paced, deadline-driven environment.</li>
<li>Ability to manage multiple clients and projects/tasks simultaneously.</li>
<li>Must be able to obtain and maintain a Public Trust clearance.</li>
<li>Must have lived in the United States 3 out of the past 5 years.</li>
<li>Candidates must be able to obtain and maintain a Public Trust clearance</li>
<li>Candidates must have lived in the United States 3 out of the past 5 years</li>
</ul>
PREFERRED EXPERIENCE: 

<ul>
<li>SAFe Agile Certification (preferred)</li>
<li> CMS experience or knowledge and experience with healthcare IT</li></ul> 


EDUCATION &amp; CERTIFICATIONS:
<ul>
<li>Bachelor's degree</li></ul><div> 
WHAT WE OFFER:

At Sparksoft, we know that people do their best work when they feel supported, inspired, and connected. That's why we've built a workplace that balances comprehensive benefits with a culture of collaboration and innovation. From flexible time off to professional growth opportunities, we're committed to helping you thrive both inside and outside of work. When you join Sparksoft, you'll enjoy:
<ul>
<li>Competitive compensation and a 401(k) with employer contributions to help you plan for the future</li>
<li>Flexible paid time off and hybrid ways of working that support true work-life balance</li>
<li>Comprehensive health coverage&mdash;including medical, dental, vision, life, and disability insurance</li>
<li>A curated in-office experience designed to foster community, team connections, and innovation</li>
<li>Opportunities to give back through Sparksoft Cares, including annual company-wide fundraising events</li>
<li>Training and development programs that build new skills and prepare you for leadership roles</li>
<li>A collaborative, transparent, and fun culture&mdash;recognized as a Great Place to Work&reg;</li>
</ul>
Accessibility and Accommodations: Sparksoft Corporation is committed to providing equal employment opportunities to all individuals. If you require accommodations during the application or interview process, please contact us at Sparksoft.Accommodations@sparksoftcorp.com or call 410-424-7700. Requests are reviewed and fulfilled on a case-by-case basis.

Security Notice: Your privacy and data security are important to us. Sparksoft Corporation will never request sensitive personal information via email. If you receive any suspicious communication claiming to be from Sparksoft, please report it immediately to our security team at abuse@sparksoftcorp.com.

Artificial Intelligence (AI) Policy: While Sparksoft recognizes the value of artificial intelligence in the workplace, our hiring process is designed to assess each candidate's individual skills, judgment, and problem-solving abilities. To maintain the integrity of this process, the use of AI tools at any stage of the application or interview is strictly prohibited. Violations of this policy may result in disqualification from consideration.</div></div>

Ruby Labs

<div><h1 class="jobSectionHeader">About us</h1>
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/<h1 class="jobSectionHeader">
About the role</h1>
We are building a high-scale payment orchestration system that processes millions of financial transactions every month across multiple payment providers, regions, and products.
Our platform operates at the intersection of payments, billing, subscriptions, analytics, and internal CRM tooling, where data correctness, performance, and reliability are mission-critical. As our transaction volume and customer base continue to grow rapidly, our database layer has become one of the most important parts of the system.
We are looking for a strong Database Engineer who will own, scale, and evolve our data infrastructure, ensuring it remains fast, reliable, and ready for long-term growth.
You will be joining a high-talent, fully remote engineering organization with strong backend, infrastructure, and product teams. We value ownership, technical excellence, and pragmatic decision-making. Engineers at RubyLabs work on real scale, real money, and real impact.
As a Database Engineer at RubyLabs, you will be responsible for designing, operating, and optimizing databases in a high-volume payments environment. This role goes far beyond basic CRUD operations &mdash; you will work with large datasets, complex queries, performance bottlenecks, migrations on massive tables, and analytics pipelines.
You will collaborate closely with backend engineers and product teams to ensure our data layer supports both transactional workloads and analytical use cases, including internal CRM search and observability.<h1 class="jobSectionHeader">
Key Responsibilities</h1>
Database Ownership &amp; Scalability<ul><li>
Own and operate AWS Aurora (PostgreSQL) in a high-load production environment</li><li>
Design and evolve schemas for large transactional domains (payments, customers, subscriptions, events)</li><li>
Implement and maintain:<ul><li>
Table partitioning strategies (time-based, tenant-based, hybrid)</li><li>
Advanced indexing (B-Tree, GIN, partial indexes)</li><li>
Query optimization and execution-plan tuning</li></ul></li><li>
Handle databases with millions of new records per month while maintaining predictable performance</li></ul>
Performance Optimization<ul><li>
Analyze and optimize slow queries and production metrics</li><li>
Identify and resolve:<ul><li>
Lock contention</li><li>
Vacuum / autovacuum issues</li><li>
Connection pool saturation</li><li>
Long-running or inefficient queries</li></ul></li><li>
Proactively prevent performance regressions as data volume grows</li></ul><div></div> 
Search &amp; Internal Tools<ul><li>
Design high-performance search solutions for large operational datasets used in internal CRM tools</li><li>
Implement efficient search strategies</li><li>
Balance flexibility, correctness, and performance at scale</li></ul><div></div> 
Analytics &amp; Logging<ul><li>
Work with event and log data pipelines, including Tinybird / ClickHouse-based analytics</li><li>
Decide which data belongs in transactional databases vs analytical stores</li><li>
Enable fast, real-time insights for product, finance, and operations teams</li></ul><div></div> 
Reliability &amp; Operations<ul><li>
Ensure data integrity and consistency in financial workflows</li><li>
Define and monitor database health metrics (latency, replication lag, storage, IOPS)</li><li>
Plan and execute safe schema changes and migrations on large tables</li><li>
Participate in incident analysis related to data performance or availability</li><li>
Work in backups, replication, and disaster-recovery strategies</li></ul><h1 class="jobSectionHeader">
Qualifications</h1><ul><li>
Strong hands-on experience with PostgreSQL in production</li><li>
Experience managing large databases (hundreds of millions of rows or more)</li><li>
Solid understanding of:<ul><li>
Indexing strategies</li><li>
Query planners and execution paths</li><li>
Transactions, isolation levels, and locking</li></ul></li><li>
Experience working with AWS-based infrastructure, ideally AWS Aurora</li><li>
Ability to independently investigate and resolve complex performance issues</li></ul><div></div> 
Strong Plus<ul><li>
Experience in payments, billing, fintech, or financial systems</li><li>
Familiarity with analytical databases (ClickHouse, Tinybird, or similar)</li><li>
Familiarity with OpenSearch or similar, including data ingestion from PostgreSQL</li><li>
Experience designing data models for multi-tenant systems</li><li>
Understanding of event-driven architectures and data pipelines</li><li>
AWS certifications (e.g., Solutions Architect, Database Specialty)</li></ul><h1 class="jobSectionHeader">
Location</h1>
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately &plusmn; 4 hours of CET. This ensures optimal collaboration and communication during working hours.<h1 class="jobSectionHeader">
Benefits</h1>
Discover the perks of being part of our vibrant team! We offer:<ul><li>
Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
</li><li>Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
</li><li>Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
</li><li>Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
</li><li>Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt</li></ul>
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!<h1 class="jobSectionHeader">
Interview Process</h1>
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:<ul><li>
Recruiter Screening (40 minutes)</li><li>
Technical Interview (60 minutes)</li><li>
Final Interview (60 minutes)</li></ul><h1 class="jobSectionHeader">
Life at Ruby Labs</h1>
At Ruby Labs, we move fast, aim high, and expect the same from our team. We&rsquo;re not here to play small&mdash;we&rsquo;re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you&rsquo;re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more&mdash;more responsibility, more growth, and more success.
#LI-Remote</div>

Database Engineer (PostgreSQL)

Cronisys IT LLC

Job Overview We are seeking a skilled Data Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support our data-driven decision-making processes. You will work closely with data analysts and other stakeholders to ensure the availability and quality of data for analytics and reporting purposes.Duties<ul><li>Design and implement scalable data pipelines using ETL processes to extract, transform, and load data from various sources into data warehouses.</li><li>Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.</li><li>Develop and maintain databases using Microsoft SQL Server, Oracle, and Azure Data Lake.</li><li>Utilize big data technologies such as Hadoop, Apache Hive, Spark, and Talend to manage large datasets effectively.</li><li>Implement data models and perform model training to enhance predictive analytics capabilities.</li><li>Ensure data integrity by performing regular audits and implementing best practices in database design.</li><li>Create RESTful APIs for seamless integration of data services across applications.</li><li>Conduct performance tuning of SQL queries and optimize database performance.</li><li>Participate in Agile development processes to deliver high-quality solutions in a timely manner.</li></ul>Skills<ul><li>Proficiency in AWS services for cloud-based data solutions.</li><li>Strong programming skills in Java and Python for data manipulation and analysis.</li><li>Experience with analytics tools such as Looker for visualizing complex datasets.</li><li>Familiarity with linked data concepts and their application in database design.</li><li>Knowledge of Shell Scripting (Bash) for automation of tasks within Unix environments.</li><li>Excellent analysis skills to interpret complex datasets and derive actionable insights.</li><li>Understanding of Agile methodologies to enhance team collaboration and project delivery. We are looking for candidates who are passionate about working with data, possess strong problem-solving abilities, and are eager to contribute to innovative projects that drive business success. If you meet these qualifications and are ready to take on a challenging role as a Data Engineer, we encourage you to apply.</li></ul>Pay: $60,000.00 - $75,000.00 per yearBenefits:<ul><li>Health insurance</li></ul>Work Location: In person

Data Engineer

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Data Engineer
 
 
 
 Job Description
 
 
 
 Seeking an experienced Senior Data Engineer to design, development, and optimization of
 
 
 our data pipelines, data models, and analytics infrastructure. The ideal candidate has
 
 
 strong experience in building scalable data platforms across operational systems and
 
 
 enterprise data warehouses.
 
 
 Key Responsibilities
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
 </li>
 <li>
 Develop high-quality data integration workflows using modern data engineering tools and frameworks.
 </li>
 <li>
 Optimize data processing performance, storage usage, and pipeline reliability.
 </li>
 <li>
 Implement data quality checks, validation rules, and monitoring dashboards.
 </li>
 <li>
 Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for reporting and analytics.
 </li>
 <li>
 Manage data security, access controls, and governance best practices.
 </li>
 <li>
 Support production workflows, troubleshoot issues, and improve platform stability.
 
 
 </li>
 </ul>
 Additional Responsibilities for Data Models &amp; Structures (Operational + DW)
 
 
 <ul>
 <li>
 Own the design and maintenance of logical and physical data models for
 
 
 </li>
 </ul>
 operational systems and enterprise data warehouse (OLTP + DWH).
 
 
 <ul>
 <li>
 Define and enforce data modeling standards, naming conventions, and schema governance.
 </li>
 <li>
 Translate business processes into efficient database schemas, including star/snowflake models.
 </li>
 <li>
 Optimize queries and database structures for high-performance analytics and real-time data access.
 </li>
 <li>
 Work closely with DBAs, architects, and product teams to ensure data models meet scalability and performance requirements.
 </li>
 <li>
 Lead database refactoring efforts, schema evolution, and versioning processes.
 </li>
 <li>
 Perform impact analysis for schema changes across upstream and downstream systems.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Must-Have Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role.
 </li>
 <li>
 Strong Python Skills and Experience
 </li>
 <li>
 Strong SQL /PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar).
 </li>
 <li>
 Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.).
 </li>
 <li>
 Hands-on experience with data processing frameworks (Spark, Databricks, or similar).
 </li>
 <li>
 Proficiency with cloud platforms (AWS).
 </li>
 <li>
 Experience with workflow orchestration (Airflow, Prefect, or similar).
 </li>
 <li>
 Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals.
 </li>
 <li>
 Proven ability to design robust data models and optimize database structures.
 </li>
 <li>
 Knowledge of data governance, cataloging, and metadata management.
 
 
 </li>
 </ul>
 Nice-to-Have Skills
 
 
 <ul>
 <li>
 Familiarity with CI/CD, infrastructure-as-code, and DevOps practices.
 </li>
 <li>
 Experience with real-time analytics or high-volume distributed data systems
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Data Engineer

Vista Technology Services

VISTA Technology Services, Inc. (VISTA) is currently seeking a Data Engineer to support a U.S. Intelligence Agency in Springfield, VA.
 
This position is contingent upon contract award.
 
The Data Engineer will provide design, implementation, and management of databases and data pipelines to support operations and will ensure data integrity, availability, and security for all technical security data systems.
 
Responsibilities: 
<ul>
<li>Design and implement database structures for data collection and analysis</li>
<li>Designing, building, and maintaining scalable data pipelines and architectures.</li>
<li>Developing and implementing data transformations and algorithms.</li>
<li>Implement data storage solutions for long-term analysis of technical security data</li>
<li>Create data models to support analytical requirements operations</li>
<li>Ensure data security and compliance with applicable regulations</li>
<li>Coordinate with software development teams to ensure proper data integration</li>
<li>Provide technical leadership for junior data engineers</li>
</ul>
Basic Qualifications: 
<ul>
<li>Bachelor's degree in Computer Science, Data Science, or related field</li>
<li>Minimum of 8 years of experience in data engineering or database administration</li>
<li>Advanced proficiency in programming languages like Python, SQL, Java, and Scala</li>
<li>Expertise in ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes</li>
<li>In-depth knowledge of relational and NoSQL databases</li>
<li>Hands-on experience with big data frameworks</li>
<li>Proficiency with cloud computing services</li>
<li>Strong understanding of data modeling and data warehousing</li>
<li>Understanding of data security requirements for classified environments</li>
<li>Active TS/SCI, with a willingness to take a polygraph test</li>
</ul>
Desired Qualifications: 
<ul>
<li>Experience with MLOps and supporting machine learning workflows.</li>
<li>Knowledge of emerging data architecture patterns like Data Mesh or Data Fabric.</li>
<li>Expertise in real-time data streaming and processing technologies.</li>
<li>Advanced certifications in cloud data services (e.g., AWS Certified Data Analytics - Specialty).</li>
<li>Proficiency with Infrastructure as Code (aC) tools like Terraform or CloudFormation.</li>
<li>A strong business acumen and the ability to connect data initiatives to business outcomes.</li>
</ul>
Salary at VISTA is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $150,000.00 to $195,000.00 (annualized USD) based on years of experience. The estimate displayed represents the typical salary range for this position and is just one component of VISTA's total compensation package for employees. We also offer a competitive leave package and a generous benefit plan which includes medical, dental, vision, life and disability insurance, tuition assistance, and an employer matching 401(k) plan.
 
Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
 
For this position, VISTA will consider only applicants with an active DoD security clearance.
 
To learn more about VISTA and to apply for this position, please visit our website at www.vistatsi.com.
 
VISTA is an Equal Opportunity Employer/Disability/Veterans Employer

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