senior database engineer

SAIC

<div><p>Job ID: 2610426</p><p><b>
Location: </b>Point Mugu NAWC, CA, US</p><p><b>
Date Posted: </b>2026-03-19</p><p><b>
Category: </b>Software</p><p><b>
Subcategory: </b>SW Engineer</p><p><b>
Schedule: </b>Full-Time</p><p><b>
Shift: </b>Day Job</p><p><b>
Travel: </b>No</p><p><b>
Minimum Clearance Required: </b>Interim_Secret</p><p><b>
Clearance Level Must Be Able to Obtain: </b>Secret</p><p><b>
Potential for Remote Work: </b>ORA_ON_SITE</p><p><b><br>
Description</b>
</p><p>SAIC is looking for a <b>Database Engineer</b> to support the Electronic Warfare Data Systems (EWDS) program for the Airborne Electronic Attack Integrated Product Team (AEA IPT) located at NAWC Point Mugu, California.</p><p>
If you're a database expert passionate about solving complex challenges, we invite you to make an impact in this 100% in-person role. Active Secret clearance is required or must be obtained prior to first day of work.</p><p><b>
Why Join Us?</b></p><ul><li>
Be at the forefront of advancing electronic warfare technology.</li><li>
Collaborate with top talent in a high-energy environment.</li><li>
Work on meaningful projects that support national security.</li></ul><p></p><p><b><br>
What You'll Do:</b></p><p>
As a Database Engineer, you'll play a pivotal role in ensuring data integrity, automating processes, and modernizing legacy systems. You&rsquo;ll:</p><ul><li>
Leverage SQL Server Management Studio (SSMS), Visual Studio, and Azure DevOps daily.</li><li>
Write complex, dynamic SQL queries for sophisticated relational databases.</li><li>
Design, develop, test, and debug advanced software applications.</li><li>
Create backups, restore data, and implement solutions to prevent data loss.</li><li>
Develop stored procedures to streamline manual processes for the team.</li><li>
Modernize technical debt by developing innovative database solutions for outdated processes.</li></ul>
<p></p><p><b>Qualifications</b>
</p><p><b>Qualifications:</b></p><ul><li>
A relevant bachelor's degree and five (5) years or more of experience; additional years of experience may be substituted in lieu of a degree.</li><li>
SQL experience is required.</li><li>
Experience with C# and C++ programming languages.</li><li>
Working knowledge of Visual Basic and Microsoft Access.</li></ul><p></p><p><b><br>
Preferred Skills:</b></p><ul><li>
Familiarity with Agile project management principles (e.g., sprints and user stories).</li><li>
A basic understanding of Electronic Warfare (EW) and Airborne Electronic Attack (AEA) missions is preferred but not required.</li></ul><p><b><br>
Clearance Requirement:</b></p><ul><li>
Active Interim Secret security clearance is required to begin work.</li></ul>
<p></p>Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Senior Database Engineer

Mike Albert Leasing, Inc

<div><div><b>Sr. Data Engineer</b></div><div>
</div><div>
The Senior Data Engineer is responsible for the development, optimization, and maintenance of data pipelines and architecture. This role plays a key part in ensuring data integrity, performance, and accessibility across the enterprise. The ideal candidate brings deep experience in data integration (Boomi), database management (SQL Server and Oracle), and data modeling to support enterprise reporting, particularly through Power BI.</div><div>
</div><div><b>
RESPONSIBILITIES:
</b></div><div><b>Data Engineering &amp; Pipeline Development</b></div><ul><li>
Design, build, and maintain scalable ETL/ELT pipelines using Boomi and other relevant tools.</li><li>
Integrate data from various on-premise and cloud systems (including SQL Server, Oracle, APIs).</li><li>
Ensure data integrity and consistency across systems and data environments.</li><li>
Monitor, troubleshoot, and improve pipeline performance and reliability.</li></ul><div><b>
Database Design &amp; Optimization</b></div><ul><li>
Develop logical and physical database schemas, ensuring performance, normalization, and scalability.</li><li>
Perform query tuning, indexing, and partitioning on SQL Server and Oracle databases.</li><li>
Lead database architecture decisions and enforce best practices for structure and storage.</li><li>
Create and maintain documentation for data dictionaries and models.</li></ul><div><b>
Analytics Support &amp; Reporting Enablement</b></div><ul><li>
Collaborate with business analysts, data analysts, and business stakeholders to understand data needs.</li><li>
Enable Power BI report development by designing and maintaining efficient and reliable datasets.</li><li>
Ensure semantic layer consistency and optimize Power BI data models for performance.</li><li>
Support ad-hoc data exploration, ensuring high-quality and governed data is accessible for analysis.</li></ul><div><b>
Innovation, Governance &amp; Continuous Improvement</b></div><ul><li>
Evaluate new tools and technologies for data integration and warehousing.</li><li>
Implement and advocate for data governance, lineage, and security policies.</li><li>
Contributes to the evolution of the data platform architecture and roadmap.</li><li>
Mentor junior data engineers and analysts on best practices in engineering and design.</li></ul><div><b>
QUALIFICATIONS:</b></div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or a related field.</li><li>
Masters degree preferred.</li><li>
Minimum 6 years of experience in data engineering, database development, or a similar role.</li><li>
Proven experience with Boomi or equivalent iPaaS tools for data integration.</li><li>
Deep experience with both SQL Server and Oracle databases.</li><li>
Strong exposure to enterprise reporting environments using Power BI.</li><li>
Residence in the greater Cincinnati Metropolitan area</li></ul><div><b>
Technical Proficiency</b></div><ul><li>
Advanced SQL skills and ability to optimize large-scale queries.</li><li>
Proficiency in database design, normalization, indexing, and performance tuning.</li><li>
Experience in scripting (T-SQL, PL/SQL, PowerShell, or Python preferred).</li><li>
Familiarity with CI/CD for data solutions and version control systems.</li><li>
Exposure to cloud data platforms (Azure, AWS, or GCP) is a plus.</li></ul><div><b>
Soft Skills</b></div><ul><li>
Strong analytical and problem-solving skills with high attention to detail.</li><li>
Effective communicator able to translate technical solutions to non-technical stakeholders.</li><li>
Collaborative mindset and ability to work across cross-functional teams.</li></ul><div></div><div><br>
</div><div>
Drug Free Employer</div></div>

Sr. Data Engineer

Fidelity Investments

<div><h3 class="jobSectionHeader"><b>Job Description:</b></h3><p>
Senior Data Engineer - Oracle DBA - OCI</p><p><b>
The Role</b></p><p>
The Institutional Brokerage Database Services Center of Excellence (COE) requires a highly competent and highly motivated Senior Database Engineer with strong technical skills to support challenging mission critical database platforms. This position would provide an excellent opportunity to work on leading database technologies like Oracle, Postgres, Distributed SQL, NoSQL, Snowflake etc. It is a great place to experience and learn end-to-end DBA service capabilities. This role requires a service-oriented mentality, high sense of ownership of the problems and requests assigned and is an enormous opportunity to gain experience with modern technologies like AI/ML. In this role, you will:</p><ul><li>
Establish database standards for operations, upgrades, migrations and onboarding new applications and/or clients.</li><li>
Diagnose problem areas and develop solutions and/or workarounds by writing clear, concise, well-coordinated technical documentation to maintain standards and procedures.</li><li>
Monitor, configure, and maintain database platforms to ensure optimal performance, capacity planning, system health, and availability, proactively responding to alerts and rapidly diagnosing and resolving performance or stability issues.</li><li>
Support existing infrastructure, integrate new features, and implement the data architecture of the organization.</li><li>
Develop methods to seamlessly integrate products together, including customizing commercial databases to fit specific needs.</li><li>
Collaborate with project managers, systems analysts, engineers, application teams, customers, and enterprise partners&mdash;including Systems Administration, Cyber Security, and Capacity Planning&mdash;to align database solutions with technical, operational, and business requirements.</li><li>
Perform application database administration (Oracle/Postgres) across all phases of the SDLC, including SQL code review, performance analysis and query tuning, logical and physical data modeling, database application design, and development support.</li><li>
Participate in proof-of-concept (POCs) efforts to evaluate and enable new technology solutions.</li><li>
Design and implement highly resilient and performing Oracle database platforms, using distributed database technologies.</li><li>
Participate in 24X7 on call rotation schedule for various production support, database maintenance, housekeeping and installations.</li><li>
Establish Continuous Integration and Continuous Delivery (CI/CD) pipelines to deploy code and services to Amazon Web Services (AWS) using Cloud based data platforms.</li></ul><p><b>
The Expertise and Skills You Bring</b></p><ul><li>
5+ years of experience in Oracle Database technologies with very proven understanding of end-to-end database tech-stack including Exadata and provide technical leadership for strategic projects.</li><li>
3+ years of Cloud experience, AWS is preferred.</li>
5+ experience in Oracle Database Administration / Performance Engineering / Replication Engineering across multiple platforms <li>- Linux and Engineered systems.</li>
1+ experience in DB performance for other database platforms (Postgres, CockroachDB, Snowflake, Cassandra, MS SQL Server, etc.) across multiple platforms <li>- Linux and Engineered systems.</li><li>
5+ years of experience in Distributed replication technologies (Oracle Goldengate, EDB Replication, etc.) preferred.</li><li>
Experience with cloud databases platforms (AWS/Azure/Oracle OCI certification is helpful), on both Linux and Windows environments.</li><li>
Possess domain expertise in Oracle internals, Optimizer, Statistics management, Partition management, Physical implementation and Workload management for highly scalable and resilient database platforms.</li><li>
Possess sophisticated skills in Query Performance Tuning and Optimization (PTO), Oracle Enterprise Manager Grid control (OEM 12c), Linux shell scripting, and writing database monitoring jobs in PL/SQL.</li><li>
A good understanding of Oracle RAC related performance challenges</li><li>
Ability to develop and drive database performance standards, standard methodologies and initiatives. Perform applications database administration (Oracle/Postgres) services including SQL code review, performance analysis, query tuning, database application design, physical data modeling, development support &amp; Engineering.</li></ul><p><b>
The Team</b></p><p>
The Fidelity Institutional Technology, Database Center of Excellence (COE), provides business facing database solutions, encompassing the application/business aspects of databases, including database design, solution design, database engineering, application-data-database integration, data replication, performance consulting, deployment, and support, using world-class methodologies &amp; technologies. This team provides end to end DBA services for distributed database technologies like Oracle, Postgres, NoSQL, Snowflake, SQL server, etc.</p><h3 class="jobSectionHeader"><b>
Certifications:</b></h3><h3 class="jobSectionHeader"><b>
Category:</b></h3>
Information Technology<p>
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position.</p><p>
Please be advised that Fidelity&rsquo;s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.</p></div>

Senior Data Engineer - Oracle DBA - OCI

A2 Business Consulting LLC

<p>Senior Data Engineer</p><p><b>A2 Business Consulting | Hussain Industries Group</b> <i>Cloud Data Platforms, ETL/ELT Architecture &amp; Advanced Integration</i></p><p><b>Monthly Take-Home (After Tax): PKR 350,000 &ndash; 500,000</b> Contract: 3-Month Renewable | Schedule: Mon&ndash;Fri, 9 AM&ndash;5 PM EST | Fully Remote</p><p><b>Company Overview</b></p><p>A2 Business Consulting, part of the Hussain Industries Group, delivers advanced data engineering and cloud platform solutions to US-based enterprise clients. We build scalable data infrastructure using modern Microsoft Azure and Fabric technologies to help organizations centralize, transform, and optimize their data for analytics and operations. Our team operates fully remote with a culture of collaboration, accountability, and technical excellence.</p><p><b>Position Summary</b></p><p>We are seeking a Senior Data Engineer to lead the design, development, and maintenance of enterprise-grade data platforms. This is a hands-on technical leadership role with deep focus on ETL/ELT pipeline architecture, advanced data modeling, complex multi-source integrations, and cloud infrastructure management. The ideal candidate brings 5+ years of data engineering experience, strong Python and SQL skills, and proven expertise in Microsoft Azure and Microsoft Fabric. You will work directly with US-based technical and business leadership to drive data platform strategy.</p><p>This is a data engineering and technology role. Candidates from accounting or finance administration backgrounds are not suited for this position.</p><p><b>Key Responsibilities</b></p><p>Data Pipeline Architecture &amp; Development</p><ul><li>Architect and lead development of complex, scalable ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric Pipelines, Dataflows Gen2, and Azure Functions</li><li>Design and implement incremental load strategies including CDC (Change Data Capture), watermark-based loads, and partition-aware refresh patterns</li><li>Build robust error handling frameworks, retry logic, dead-letter queues, and automated alerting for pipeline failures</li><li>Optimize pipeline performance, execution costs, and scheduling across dev, staging, and production environments</li><li>Mentor junior engineers on pipeline design patterns and best practices</li></ul><p>Advanced Data Integration</p><ul><li>Architect integrations with complex enterprise sources: Microsoft Dynamics 365 (CRM and Business Central), Salesforce, SAP, NetSuite, REST/SOAP APIs, Azure SQL, Cosmos DB, Snowflake, relational databases, flat files, and streaming sources (Event Hubs, Kafka)</li><li>Design and implement custom Python-based data connectors with OAuth/API key authentication, rate limiting, and pagination</li><li>Lead integration projects end-to-end from requirements gathering through deployment</li></ul><p>Data Modeling &amp; Architecture</p><ul><li>Design enterprise dimensional data models: star schema, snowflake schema, data vault</li><li>Build subject-area data marts for business domains (operations, finance, sales, claims, clinical data)</li><li>Architect Lakehouse and Data Warehouse solutions in Microsoft Fabric</li><li>Build semantic models, measures, and relationships in Microsoft Fabric and Power BI</li><li>Implement SCD Types 1, 2, and 3; manage historical tracking and surrogate keys</li><li>Optimize partitioning strategies, indexing, and columnar storage for query performance</li></ul><p>Python Development</p><ul><li>Write production-quality Python scripts for data processing, transformation, and automation</li><li>Proficient with Pandas, NumPy, PySpark, requests, SQLAlchemy, pyodbc, openpyxl</li><li>Build custom ETL frameworks, validation engines, and reusable utility libraries</li><li>Implement unit tests, data contract validations, and automated quality assertions</li></ul><p>SQL &amp; Database Development</p><ul><li>Write highly optimized SQL including complex CTEs, window functions, recursive queries, and dynamic SQL</li><li>Build and maintain stored procedures, views, user-defined functions, and indexed views</li><li>Lead database performance tuning: query plan analysis, index strategies, statistics management</li></ul><p>Data Quality &amp; Governance</p><ul><li>Design and implement enterprise data quality frameworks: profiling, validation rules, anomaly detection</li><li>Build data quality monitoring dashboards with automated alerting</li><li>Maintain data lineage documentation, data dictionaries, and metadata catalogs</li><li>Enforce RBAC, column-level security, and row-level security in Fabric and Azure</li></ul><p>Cloud Infrastructure &amp; DevOps</p><ul><li>Deploy and manage Azure resources: Data Factory, Storage Accounts, Azure SQL, Key Vault, Function Apps</li><li>Implement Infrastructure as Code using ARM Templates or Bicep</li><li>Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions</li><li>Maintain Git version control practices, branching strategies, and code review standards</li></ul><p><b>Required Qualifications</b></p><ul><li>5+ years of hands-on experience in Data Engineering, ETL/ELT Development, or Data Platform roles</li><li>Expert-level experience with Azure Data Factory, Azure SQL, Azure Synapse, Azure Blob/ADLS Gen2, Azure Functions</li><li>Strong Microsoft Fabric experience: Lakehouse, Warehouse, Pipelines, Dataflows Gen2, Semantic Modeling</li><li>Advanced SQL: CTEs, window functions, query optimization, database design</li><li>Python proficiency: Pandas, NumPy, requests, SQLAlchemy, PySpark</li><li>Strong understanding of dimensional modeling, data warehousing, and ETL/ELT design patterns</li><li>Experience with REST API integrations, OAuth flows, and web services</li><li>Version control with Git/GitHub/Azure DevOps; Agile/Scrum experience</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Microsoft Certifications: DP-203 (Azure Data Engineer Associate), DP-600 (Fabric Analytics Engineer), AZ-900</li><li>Power BI: data modeling, DAX, report development, deployment pipelines</li><li>Experience with dbt, Apache Airflow, or Databricks</li><li>Docker, containerization, and event-driven architectures (Event Hubs, Service Bus)</li><li>ERP integrations: Dynamics 365, SAP, NetSuite; CRM: Salesforce</li><li>US Healthcare data knowledge: HIPAA compliance, HL7/FHIR, HCPCS/CPT coding, DME billing, wound care claims &mdash; strong advantage</li><li>Financial analytics exposure: revenue cycle data, AR aging, financial reporting pipelines &mdash; a plus, but this is not a role for finance or accounting professionals</li><li>Based in Pakistan preferred for cross-timezone collaboration with US clients</li></ul><p><b>How to Apply</b> Email: techarchitectahussain@gmail.com | CC: hiring@salesteq.us Include: resume/CV, GitHub or portfolio (pipelines, SQL/Python scripts, data modeling, Azure/Fabric work), and a cover letter describing your ADF and Fabric experience, the most complex integration you have built, and your approach to data quality.</p><p>Job Type: Full-time</p><p>Pay: Rs350,000.00 - Rs500,000.00 per month</p><p>Work Location: Remote</p>

Senior Data Engineer

Simpson Thacher & Bartlett LLP

<div><p>The Senior Data Engineer is responsible for designing, building, and optimizing enterprise-scale data pipelines and analytics platforms across the Microsoft data ecosystem. This role leads the development of robust, scalable data solutions using Azure Data Factory, Databricks, Microsoft Fabric, SQL Server, and Python to support advanced analytics, machine learning, and business intelligence workloads. The engineer partners closely with architects, data scientists, and business stakeholders to modernize data platforms, implement best practices, and ensure high-quality, reliable data delivery across the organization. This position requires deep technical expertise, strong problem solving skills, and the ability to drive end to end data engineering initiatives in a cloud-first environment.
</p><p></p><p><b>Essential Job Duties &amp; Responsibilities
</b></p><ul><li><p>Lead the design, development, and implementation of advanced data pipelines and ETL processes using Azure Data Lake Storage and Azure Data Factory.
</p></li><li><p>Architect and manage scalable data solutions on Databricks for high-performance data processing and analytics.
</p></li><li><p>Oversee the development and optimization of SQL Server databases and queries to meet complex reporting and analytical needs.
</p></li><li><p>Write and maintain Python scripts for sophisticated data transformation, analysis, and automation tasks.
</p></li><li><p>Spearhead data migration projects from on-premises systems to Azure cloud services, ensuring strategic planning, minimal disruption, and data integrity.
</p></li><li><p>Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand and translate data requirements into technical solutions.
</p></li><li><p>Troubleshoot and resolve complex data-related issues, ensuring high data quality and reliability.
</p></li><li><p>Monitor, optimize, and scale data workflows to improve performance and cost-efficiency.
</p></li><li><p>Develop and enforce best practices for data engineering processes, documentation, and governance.
</p></li></ul><p></p><p><b>Education
</b></p><p>Required
</p><ul><li><p>Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience in lieu of formal education.
</p></li><li><p>Legal IT experience a plus but not required
</p></li></ul><p></p><p><b>Skills and Experience
</b></p><p>Required
</p><ul><li><p>5-7 years experience working with enterprise level relational and/or non-relational database and ETL/ELT technologies.
</p></li><li><p>Extensive experience with Azure Data Lake Storage, Azure Data Factory, Databricks, SQL Server, and Python.
</p></li><li><p>Demonstrated experience in the implementation and creation of both on-premise SQL Server Databases as well as Azure SQL Databases.
</p></li><li><p>Deep understanding of data modeling, ETL processes, data warehousing concepts, and data architecture.
</p></li><li><p>Proven track record of managing and executing large-scale data migration projects from on-premises to cloud environments.
</p></li><li><p>Advanced proficiency in SQL for complex querying and database management.
</p></li><li><p>Strong experience with Python for advanced data manipulation and automation tasks.
</p></li><li><p>In-depth knowledge of cloud computing concepts and services, particularly within Azure.
</p></li><li><p>Demonstrated leadership skills, with the ability to mentor and guide junior team members.
</p></li><li><p>Excellent problem-solving abilities and attention to detail.
</p></li><li><p>Exceptional communication skills and experience working collaboratively in a team-oriented environment.
</p></li><li><p>Experience with data governance and data quality frameworks.
</p></li><li><p>Familiarity with Azure services (e.g., Azure Synapse Analytics, Azure SQL Database, Cosmos DB) and big data technologies.
</p></li><li><p>Experience with semi-structured/NoSQL databases is a plus.
</p></li><li><p>Azure data certifications (e.g., Azure Data Engineer Associate) are a plus but not required.
</p></li></ul><p></p><p><b>Salary Information
</b></p><p></p><div><p>NY Only: The estimated base salary range for this position is $175,000 to $200,000 at the time of posting.
</p></div><p></p><div><div><div><div><p>The actual salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job. This role is exempt meaning it is not overtime pay eligible.
</p></div></div></div></div><p>Simpson Thacher will not sponsor applicants for work visas for this position.
</p><p></p><p><b>Privacy Notice
</b></p><p>For information about how Simpson Thacher &amp; Bartlett LLP collects and processes your personal information, please refer to our Privacy Notice available at https://www.stblaw.com/other/privacy-notice .
</p><p></p><p>Simpson Thacher &amp; Bartlett is committed to a collegial work environment in which all individuals are treated with respect and dignity. The Firm prohibits discrimination or harassment based upon race, color, religion, gender, gender identity or expression, age, national origin, citizenship status, disability, marital or partnership status, sexual orientation, veteran&rsquo;s status or any other legally protected status. This Policy pertains to every aspect of an individual&rsquo;s relationship with the Firm, including but not limited to recruitment, hiring, compensation, benefits, training and development, promotion, transfer, discipline, termination, and all other privileges, terms and conditions of employment.
</p><p></p>#LI-Hybrid</div>

Procore Technologies

<div>
 <strong>
  Job Ad
  <br/>
  <br/>
 </strong>
 We're looking for a
 <strong>
  Senior Software Engineer - Data
 </strong>
 to join the Graph &amp; Insights team within Procore's Construction Intelligence division. In this role, you'll build and scale the data platform that transforms construction project data into connected, queryable knowledge &mdash; enabling teams across Procore to surface insights, identify risks, and make smarter decisions.
 <br/>
 <br/>
 As a
 <strong>
  Senior Software Engineer - Data
 </strong>
 , you&rsquo;ll partner with other engineers, data scientists, and product managers across Product &amp; Technology to design and evolve the data architectures that power our "Helix AI" ecosystem. A core part of this role is focusing on
 <strong>
  data modeling, graph-based relationships, and high-throughput processing
 </strong>
 , ensuring that our construction intelligence tools are both performant and deeply insightful.
 <br/>
 <br/>
 This position reports to the Engineering Manager for Construction Intelligence and will be based in our
 <strong>
  Cairo office
 </strong>
 . We&rsquo;re looking for someone to join us immediately.
 <br/>
 <br/>
 What you&rsquo;ll do:
 <br/>
 <br/>
 <ul>
  <li>
   Create scalable data pipelines and microservices using a variety of technologies such as Java, Flink, Kafka, and Airflow.
  </li>
  <li>
   Participate in designing and building systems that are aligned with Procore&rsquo;s technical vision of a service-oriented architecture.
  </li>
  <li>
   Design and maintain graph data models and relationship-based architectures to provide a unified view of construction data.
  </li>
  <li>
   Work up and down the stack to ship code for our microservices and Flink jobs, and dive deep into the database layer to handle complex relational and graph querying needs.
  </li>
  <li>
   Implement and maintain algorithms and techniques to reduce data redundancy.
  </li>
  <li>
   Work in building applications using LLMs and GAIs.
  </li>
  <li>
   Monitor, analyze, and optimize the performance of our data pipelines and graph platforms.
  </li>
  <li>
   Maintain and evolve our data platforms to have clear domain boundaries and a coherent public interface, in alignment with Procore's technical vision.
  </li>
  <li>
   Mentor junior engineers within the team, providing guidance and support.
  </li>
  <li>
   Work with other engineers and stakeholders to ensure the success of our platforms.
  </li>
  <li>
   Collaborate with Engineering, Product, and UX to design and build solutions that delight users and solve critical business problems.
   <br/>
   <br/>
  </li>
 </ul>
 What we&rsquo;re looking for:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering, or a related field.
  </li>
  <li>
   5+ years of experience in Object Oriented Programming fundamentals, Test Driven Development, and Design principles.
  </li>
  <li>
   Strong experience building and optimizing data pipelines, architectures, and datasets, with a focus on both real-time streaming and batch processing using Spark or Flink.
  </li>
  <li>
   Professional experience working with Graph Technologies (such as Neo4j or similar) and writing optimized relationship-based queries.
  </li>
  <li>
   Strong understanding of software and data engineering principles and practices.
  </li>
  <li>
   Experience with a variety of data technologies, including Apache Flink, Apache Kafka, GraphQL, REST APIs, DynamoDB, Elastic Search, MongoDB, and Graph Databases.
  </li>
  <li>
   Experience with running services on Kubernetes and familiarity with Helm charts and Terraform.
  </li>
  <li>
   Experience in cloud environments like AWS, GCP, or Azure.
  </li>
  <li>
   Experience with data deduplication algorithms and techniques.
  </li>
  <li>
   Experience with deploying machine learning and statistical modeling.
  </li>
  <li>
   Excellent problem-solving, communication, and teamwork skills.
  </li>
  <li>
   Familiarity with Python, Java, and PHP for general scripting and software development.
  </li>
  <li>
   Experience with using Large Language Models for building applications is a plus.
  </li>
 </ul>
</div>


Senior Software Engineer - Data

FlairsTech

<div><div><div><div><p>Requirements and responsibilities</p><div><h1 class="jobSectionHeader"><b><br>
</b></h1><div></div><h2 class="jobSectionHeader"><b>
Data Engineer (PostgreSQL)</b></h2><p><b>
Platform: PHP-Based Enterprise Application</b></p><h2 class="jobSectionHeader"><b>
Role Overview</b></h2><p>
We are seeking a <b>Data Engineer</b> to design, optimize, and scale data systems powering our PHP-based application platform.</p><p>
You will be responsible for architecting and maintaining high-performance PostgreSQL databases, building data pipelines, ensuring data integrity, and enabling analytics and operational reporting across the system.</p><p>
This role sits at the intersection of backend engineering, database architecture, and data infrastructure. You will work closely with PHP developers to ensure data models, queries, and pipelines are efficient, reliable, and scalable.</p><div></div><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><h3 class="jobSectionHeader"><b>
PostgreSQL Architecture &amp; Optimization</b></h3><p>
Design and maintain robust PostgreSQL database schemas aligned with business requirements.</p><p>
Optimize complex queries, indexes, and execution plans.</p><p>
Analyze and resolve performance bottlenecks.</p><p>
Implement partitioning, replication, and scaling strategies where appropriate.</p><p>
Ensure data consistency, integrity, and transactional reliability.</p><div></div><h3 class="jobSectionHeader"><b>
Data Modeling &amp; System Design</b></h3><p>
Design normalized and denormalized schemas based on workload requirements.</p><p>
Define data governance standards (naming conventions, indexing standards, migration strategies).</p><p>
Collaborate with backend engineers to align database design with PHP application logic.</p><p>
Improve schema evolution processes and migration safety.</p><div></div><h3 class="jobSectionHeader"><b>
Performance &amp; Scalability</b></h3><p>
Monitor database performance metrics.</p><p>
Implement caching strategies where appropriate (e.g., Redis integration).</p><p>
Support horizontal scaling, read replicas, and failover strategies.</p><p>
Plan capacity and forecast growth.</p><div></div><h3 class="jobSectionHeader"><b>
Data Pipelines &amp; ETL</b></h3><p>
Build and maintain data pipelines for:</p><p>
Reporting</p><p>
Analytics</p><p>
Operational dashboards</p><p>
Design ETL/ELT processes using SQL and scripting languages.</p><p>
Ensure data quality, validation, and monitoring.</p><p>
Integrate with external APIs or third-party data sources when required.</p><div></div><h3 class="jobSectionHeader"><b>
Reliability &amp; Operations</b></h3><p>
Implement backup, recovery, and disaster recovery strategies.</p><p>
Automate routine maintenance tasks.</p><p>
Improve database observability (monitoring, logging, alerting).</p><p>
Support incident response related to data or performance issues.</p><div></div><h3 class="jobSectionHeader"><b>
Cross-Functional Collaboration</b></h3><p>
Work closely with PHP backend engineers to:</p><p>
Optimize ORM usage and query performance</p><p>
Improve transaction design</p><p>
Reduce N+1 query issues</p><p>
Support product and analytics teams with data extraction and modeling needs.</p><p>
Document data architecture and best practices.</p><div></div><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><p>
4+ years of experience in Data Engineering or Database Engineering roles.</p><p>
Strong expertise in <b>PostgreSQL</b> in production environments.</p><p>
Deep knowledge of:</p><p>
Indexing strategies</p><p>
Query planning and optimization</p><p>
Transaction isolation levels</p><p>
Locking and concurrency control</p><p>
Experience designing scalable relational data models.</p><p>
Proficiency in SQL (advanced level).</p><p>
Experience working with backend engineering teams in production systems.</p><div></div><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><p>
Experience supporting applications built in PHP (Laravel or Symfony).</p><p>
Familiarity with ORMs and query builders.</p><p>
Experience with:</p><p>
Data warehousing concepts</p><p>
ETL orchestration tools</p><p>
Message queues</p><p>
Cloud database experience (AWS RDS, Cloud SQL, etc.).</p><p>
Experience implementing replication or high-availability setups.</p><div></div><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><p>
Experience building reporting pipelines.</p><p>
Familiarity with BI tools.</p><p>
Exposure to distributed systems concepts.</p><p>
Experience improving legacy schema designs.</p><div></div><h2 class="jobSectionHeader"><b>
Ideal Candidate Profile</b></h2><p>
The ideal candidate:</p><p>
Thinks deeply about data structure and performance.</p><p>
Is proactive in identifying inefficiencies.</p><p>
Balances normalization with pragmatic performance decisions.</p><p>
Collaborates effectively with application engineers.</p><p>
Takes ownership of reliability and long-term scalability.</p></div></div></div></div></div><div></div>

Search 10000+ Senior database engineer jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 senior database engineer jobs Near Me

Senior Database Engineer

Sr. Data Engineer

Senior Data Engineer - Oracle DBA - OCI

Senior Data Engineer

Senior Data Engineer

Senior Software Engineer - Data

Senior Data Engineer