data infrastructure engineer

Trailhead Biosystems Inc.

<p><b>About Trailhead Biosystems</b></p><p>Trailhead Biosystems is an early stage, fast-moving biotech company building next-generation stemcell products. Data is central to everything we do, scientific data from laboratory workflows, operational data from business systems, and data powering active AI initiatives. We need someone who owns the full infrastructure stack that supports all of it.</p><p><b>About the Role</b></p><p>This is a hands-on, full-stack data infrastructure role. You own the databases, pipelines, APIs, cloud systems, and internal tooling that the entire company depends on; including systems that directly support our AI initiatives. You also build simple internal applications that make data accessible to the people who rely on them. You will inherit an active, production-grade stack and are expected to contribute meaningfully from early on.</p><p><b>Responsibilities</b></p><p><b>Data Infrastructure</b></p><ul><li>Design, build, and maintain relational databases supporting scientific research, AI applications, operational systems, and business data; schema design, normalization, query optimization, indexing, partitioning, and migrations</li><li>Build and maintain pipeline orchestration workflows (e.g. Airflow, Prefect, Dagster) that move and transform data reliably across internal and external sources, including cloud object storage</li><li>Develop and maintain data transformation and testing frameworks (e.g. dbt or equivalent) with full testing coverage; own the data build and quality lifecycle</li><li>Build and maintain Python-based REST APIs serving internal applications and AI systems</li><li>Manage integrations with external scientific data sources and internal laboratory data systems</li><li>Own database security end-to-end: access controls, encryption at rest and in transit, audit logging, backup and disaster recovery</li><li>Manage cloud infrastructure across compute, storage, identity, and networking layers</li><li>Document all systems, schemas, pipelines, and processes without exception</li></ul><p><b>Internal Tooling and AI Infrastructure</b></p><ul><li>Build lightweight internal data tools and dashboards using Python-native frameworks (e.g. Streamlit, Django) and BI tools (e.g. PowerBI) for data entry, visualization, and operational reporting</li><li>Support AI initiative infrastructure: work comfortably at the intersection of data systems and AI applications integrating with model APIs, supporting vector search infrastructure, and building interfaces that surface AI outputs to internal users</li><li>Collaborate with the AI Engineer on data layer requirements you own the data infrastructure, they own the model layer</li><li>Stay current with the modern data and AI infrastructure stack; bring informed opinions on tooling decisions as the company's needs evolve</li></ul><p><b>Systems and Infrastructure Context</b></p><ul><li>Understand how the hardware and network layer affects data system performance &mdash; disk I/O, memory pressure, network latency, and storage architecture are not abstract concepts to you</li><li>Troubleshoot across the full stack when needed: application, database, operating system, and hardware</li><li>In a small company environment, you are the technical anchor. You coordinate with our external IT partners intelligently &mdash; scoping issues accurately, communicating clearly, and following through to resolution &mdash; without this becoming the center of your day</li><li>Comfortable handling routine infrastructure and IT matters (user access, connectivity, device setup) as they arise, as part of a broader ownership mindset rather than a defined job function</li></ul><p><b>Requirements</b></p><ul><li>Deep PostgreSQL expertise: schema design, query optimization, indexing, partitioning, and migration management with the ability to defend every architectural decision made.</li><li>Production pipeline experience: hands-on building, deploying, and operating data pipelines using modern orchestration tools, including real failure handling in production environments.</li><li>Data transformation and testing: practical experience with modern transformation frameworks, dependency management, and data quality testing in live production settings.</li><li>Python proficiency: production-grade, clean, maintainable code that others can read, extend, and operate independently.</li><li>REST API development: deployed APIs built with modern Python frameworks, incorporating proper validation, authentication, and production-grade serving.</li><li>Internal tooling: demonstrated ability to build functional data applications and dashboards for non-technical users using Python-native tools.</li><li>Cloud infrastructure: hands-on management of compute, storage, identity, and networking on a major cloud platform (Azure preferred) operated in production, not just studied.</li><li>Docker, Git, and database security: containerization experience, disciplined version control, and direct ownership of access control, encryption, and backup and recovery strategies.</li><li>Infrastructure literacy: working knowledge of how disk I/O, memory pressure, network latency, and hardware conditions surface as data system problems with the ability to troubleshoot across every layer.</li><li>AI infrastructure awareness: experience building the data layer that AI systems depend on reliable pipelines, low-latency retrieval, and vector search infrastructure with an understanding of what those systems require from the data layer beneath them.</li><li>Small company mindset: demonstrated experience owning problems end to end in a lean environment, without defined team structures absorbing the slack.</li><li>Collaborative by default: a track record of working effectively across scientific, commercial, and technical teams contributing to shared goals, sharing context proactively, and making the people around them more effective rather than operating in isolation.</li><li>Communication and documentation: a history of surfacing issues proactively, documenting systems to a standard that others can operate independently, and translating technical context clearly for non-technical stakeholders without creating bottlenecks.</li><li>Continuity and adaptability: proven ability to inherit in-progress work and continue it cleanly, reprioritize without losing momentum, and support teammates during periods of transition or shifting priorities.</li></ul><p>Pay: $85,000.00 - $100,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Retirement plan</li><li>Vision insurance</li></ul><p>Application Question(s):</p><ul><li>Will you now or in the future require sponsorship for employment visa status (e.g., H-1B visa status)?</li></ul><p>Education:</p><ul><li>Master's (Preferred)</li></ul><p>Ability to Commute:</p><ul><li>Beachwood, OH 44122 (Required)</li></ul><p>Ability to Relocate:</p><ul><li>Beachwood, OH 44122: Relocate before starting work (Preferred)</li></ul><p>Work Location: In person</p>

Data Infrastructure Engineer

Pattern

<div><div><div>Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.</div>
<div></div>
<div>Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern&rsquo;s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces&mdash;including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].</div>
<div></div>
<div>Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek&rsquo;s Global Most Loved Workplaces&reg;.</div><div></div><div><br>
We are looking for a visionary Staff Data Infrastructure Engineer to lead the design, architecture, and implementation of our next-generation data platform. In this high-impact role, you will be the catalyst that enables our partners and global teams to extract actionable insights with unprecedented speed and sustainability. If you are ready to architect the backbone of a data-driven empire and eliminate friction at a global scale, you belong at Pattern.</div></div>
<div><div><h3 class="jobSectionHeader"><b>What is a day in the life of a Staff Data Infrastructure Engineer?</b></h3><div><div><div>
<ul>
<li><p>Build and maintain scalable, high-performance data infrastructure designed to support both batch and real-time use cases for a wide variety of global stakeholders</p>
</li>
<li><p>Design and implement architectural solutions that drastically reduce friction in data access across the organization.</p>
</li>
<li><p>Collaborate cross-functionally with Engineering, Data, and Product teams to align the platform with diverse technical requirements.</p>
</li>
<li><p>Understand and integrate best security practices to ensure access compliance across all data assets</p>
</li>
<li><p>Troubleshoot and resolve complex issues in distributed data systems to ensure total data integrity.</p>
</li>
<li><p>Architect and implement AI-driven diagnostic systems to autonomously identify, analyze, and resolve complex issues impacting data availability and platform health.</p>
</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What will I need to thrive in this role?</b></h3><div><div><div>
<ul>
<li><p><b>8+ years of experience</b> in data infrastructure or backend software engineering with a &quot;Data Fanatic&quot; mindset.</p>
</li>
<li><p><b>Cloud Mastery:</b> Strong expertise in cloud environments, container orchestration, and event streaming technologies for managing large-scale infrastructure.</p>
</li>
<li><p><b>Data Processing:</b> Strong experience with distributed data processing and OLAP technologies such as Spark, Trino, and ClickHouse; Snowflake or Databricks experience is a plus.</p>
</li>
<li><p><b>Technical Excellence:</b> Ability to write clean, maintainable code in Python, GoLang, Java, Ruby, or C++.</p>
</li>
<li><p><b>Proactive Leadership:</b> A &quot;can-do&quot; attitude with a proven track record of solving complex problems and taking initiative.</p>
</li>
<li><p><b>Collaborative Spirit:</b> Strong ability to work across teams to deliver high-quality, high-impact results.</p>
</li>
<li><b>System Observability:</b> Expertise in building highly observable platforms using tools like Prometheus, Grafana, or Datadog to ensure deep visibility and proactive reliability of global systems.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What does high performance look like?</b></h3><div><div><div>
<ul>
<li><p><b>Execution &amp; Innovation:</b> You proactively find and implement solutions that ensure platform scalability while remaining cost-effective, consistently optimizing infrastructure performance.</p>
</li>
<li><p><b>System Scalability:</b> You successfully deliver major infrastructure upgrades that empower the company to harness 46+ trillion data points effectively.</p>
</li>
<li><p><b>A Team of Doers:</b> You mentor team members daily, driving a culture of technical excellence and growth.</p>
</li>
<li><p><b>Setting the Bar:</b> You establish and enforce industry-leading best practices, ensuring the team adopts cutting-edge processes.</p>
</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What is my potential for career growth?</b></h3><div><div><div>
<ul>
<li><p>Direct mentorship opportunities with senior leadership in Data and Architecture.</p>
</li>
<li><p>Professional exposure through collaboration with diverse departments across the global Pattern ecosystem.</p>
</li>
<li><p>A clear, merit-based path for advancement within a rapidly growing tech company.</p>
</li>
<li><p>Opportunities to lead high-visibility projects that define the future of Pattern&rsquo;s technical roadmap.</p>
</li>
<li><p>Internal promotion priority for high-performing &quot;Pattern People.&quot;</p>
</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What does success look like in the first 30, 60, 90 days?</b></h3><div><div><div>
<ul>
<li><p><b>First 30 Days:</b> Build context quickly, assess the current platform, and identify the most important opportunities for improvement.</p>
</li>
<li><p><b>First 60 Days:</b> Contribute immediately to high-priority initiatives and lead design efforts to improve platform reliability, scalability, and operations.</p>
</li>
<li><p><b>First 90 Days:</b> Deliver significant technical impact, shape the platform roadmap, and provide technical leadership across the organization.</p>
</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What is the team like?</b></h3><div><div><div>
<p>
This role reports directly to the VP of Data and Architecture. You will be joining a growing team of data professionals. In this role, you will collaborate closely with Data Engineers and Software Engineers as well as other departments including Engineering, Product, and Marketing. This position is mentored by the VP of Data and Architecture.</p>
</div></div></div></div></div>
<div><div><h3 class="jobSectionHeader"><b>Sounds great! What&rsquo;s the company culture?</b></h3><div><div><div>
<p>
We are looking for individuals who are:</p>
<ul>
<li><p><b>Game Changers-</b> A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern&rsquo;s processes and outcomes.</p>
</li>
<li><p><b>Data Fanatics-</b> A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.</p>
</li>
<li><p><b>Partner Obsessed-</b> An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner&rsquo;s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.</p>
</li>
<li><p><b>Team of Doers-</b> Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.</p>
</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What is the hiring process?</b></h3><div><div><div>
<div>
<ul><li><p>Initial interview with Pattern&rsquo;s talent acquisition team</p>
</li></ul>
<ul><li><p>Technical video interview with a senior member of the data platform team</p>
</li></ul>
<ul><li><p>Onsite interview with peers and senior leadership</p>
</li></ul>
<ul><li><p>Professional reference checks</p>
</li></ul>
<ul><li><p>Executive review</p>
</li></ul>
<ul><li><p>Offer</p>
</li></ul>
</div></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>How can I stand out as an applicant?</b></h3><div><div><div>
<ul>
<li><p><b>Strong Nice-to-Haves:</b> Expertise in Databricks/Snowflake, experience with GoLang or Scala, and a history of contributing to open-source data projects.</p>
</li>
<li><p><b>Quantify Success:</b> During the interview, discuss professional accomplishments using specific data and metrics to show your impact.</p>
</li>
<li><p><b>Show Your Passion:</b> Highlight any side projects related to data analytics or large-scale infrastructure.</p>
</li>
<li><p><b>The &quot;Partner&quot; Lens:</b> Be prepared to explain how your technical decisions directly improve the experience and success of the partners who rely on your data platform.</p>
</li>
</ul></div></div></div></div></div><div><div><b>Why should I work at Pattern?</b></div>
<div></div>
<div>Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:</div>
<div></div>
<ul><li>Unlimited PTO</li></ul>
<ul><li>Paid Holidays</li></ul>
<ul><li>Onsite Fitness Center</li></ul>
<ul><li>Company Paid Life Insurance</li></ul>
<ul><li>Casual Dress Code</li></ul>
<ul><li>Competitive Pay</li></ul>
<ul><li>Health, Vision, and Dental Insurance</li></ul>
<ul><li>401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.</li></ul>
<div></div>
<div>Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Staff Data Infrastructure Engineer

Converge

<div>
 <p>
  <strong>
   Data Engineer | Abu Dhabi, UAE
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What This Role Is About
  </strong>
 </p>
 <p>
  Our client is looking for a Data Engineer, based in Abu Dhabi, to design, build, and optimise data pipelines and infrastructure that support business intelligence and analytics initiatives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role will focus on managing large datasets, ensuring data accuracy and availability, and enabling efficient data flow across systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will work closely with cross-functional teams to support data-driven decision-making and improve overall data architecture.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will also play a key role in maintaining data quality, enhancing data models, and supporting advanced analytics use cases.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Client&rsquo;s Definition of the Ideal Fit
  </strong>
 </p>
 <ul>
  <li>
   7+ years of experience in data engineering or a related field.
  </li>
  <li>
   Bachelor&rsquo;s degree in Coastal Engineering, Marine Engineering, or a related discipline.
  </li>
  <li>
   Strong experience in building and managing data pipelines and data infrastructure.
  </li>
  <li>
   Proficiency in data tools, databases, and ETL processes.
  </li>
  <li>
   Strong understanding of data modelling, data warehousing, and data governance.
  </li>
  <li>
   Ability to work with cross-functional teams and support data-driven initiatives.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  This is an opportunity to work on impactful data projects while leveraging domain expertise within a specialised environment in Abu Dhabi.
 </p>
</div>


Data Engineer

New Pig Corporation

<div><div>Data Engineer<br>
New Pig | Tipton, PA</div><div>
</div><div><b>
About the Role</b><br>
New Pig is building out its data team and looking for an entry-level Data Engineer to help turn raw data into reliable, decision-ready systems. You'll work alongside analysts, software engineers, and business leaders across IT, Marketing, and Operations to design and maintain the data infrastructure that powers how we run the business.</div><div>
</div><div>
This is a hands-on role with real ownership from day one.</div><div>
</div><div><b>
Responsibilities</b><br>
<ul><li>Build and maintain SQL views, stored procedures, and ETL pipelines that deliver clean, analyst-ready data</li><li>Build and maintain high-performance database and data lake infrastructure</li><li>Partner with analysts and business stakeholders to understand data needs and translate them into durable solutions</li><li>Identify and implement improvements to report delivery performance and data pipeline efficiency</li><li>Create and maintain data cataloging, documentation, profiling, and lineage to ensure data discoverability</li><li>Document data models, schemas, and system behavior; develop and execute test cases</li><li>Support reporting and analysis functions that drive data-informed decisions across the organization</li><li>Contribute written and verbal summaries of findings to cross-functional audiences</li></ul></div><div>
</div><div><b>
Qualifications</b><br>
<ul><li>Proficiency in SQL including queries, stored procedures, functions, and schema design</li><li>Experience with PostgreSQL and/or MySQL</li><li>Familiarity with public cloud data tooling &mdash; AWS (Redshift, DynamoDB) and/or GCP (BigQuery)</li><li>Experience designing and implementing relational database schemas with proper documentation</li><li>Familiarity with SQL Server, SSIS, and/or SSRS</li><li>Working knowledge of ETL concepts and data transformation and cleaning techniques across multiple source formats</li><li>Version control experience with Git</li><li>Python, Java, or JavaScript experience is a plus</li><li>Ability to work independently and collaboratively as part of a team</li></ul></div><div>
</div><div><b>
What We Offer</b><br>
New Pig is a growing, profitable B2B company with a strong engineering culture and real investment in digital transformation. You'll join a team that takes data seriously and gives engineers the autonomy to build things right.</div></div>

Hire Hangar

<div><p>Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.</p><p><b>
Job Title</b> Data Engineer &ndash; Tech Industry</p><p><b>
Location</b> Remote</p><p><b>
Time Zone</b> US Time Zones (EST&ndash;PST)</p><p><b>
Role Overview</b> We are seeking a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data infrastructure for a fast-growing tech company. This is a full-time role requiring deep technical expertise in data pipelines, warehousing, and architecture. The ideal candidate is analytical, collaborative, and comfortable working across large datasets while partnering with data science, product, and engineering teams to deliver reliable, high-quality data solutions.</p><p><b>
Key Responsibilities</b></p><ul><li><p>
Design, build, and maintain robust, scalable data pipelines and ETL/ELT workflows</p></li><li><p>
Develop and manage data warehousing solutions to support business intelligence and analytics needs</p></li><li><p>
Ensure data quality, integrity, and availability across all data systems and sources</p></li><li><p>
Collaborate with data scientists, analysts, and product teams to understand and fulfill data requirements</p></li><li><p>
Optimize query performance and database architecture for speed and efficiency</p></li><li><p>
Monitor, troubleshoot, and resolve data pipeline failures and incidents</p></li><li><p>
Implement and enforce data governance, security, and compliance best practices</p></li><li><p>
Document data models, processes, and infrastructure to support team knowledge sharing</p></li></ul><p><b>
Required Qualifications</b></p><ul><li><p>
4+ years of experience as a Data Engineer or in a similar data infrastructure role within a tech company (non-negotiable)</p></li><li><p>
Strong proficiency in SQL and at least one programming language such as Python or Scala</p></li><li><p>
Hands-on experience building and managing ETL/ELT pipelines using tools such as Apache Airflow, dbt, or similar</p></li><li><p>
Experience with cloud data platforms such as AWS, GCP, or Azure, and data warehouses such as Snowflake, BigQuery, or Redshift</p></li><li><p>
Solid understanding of data modeling, schema design, and database optimization</p></li><li><p>
Strong problem-solving skills with the ability to manage complex, high-volume data environments</p></li><li><p>
Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered.</p></li></ul><p><b>
Preferred Qualifications</b></p><ul><li><p>
Experience with real-time or streaming data pipelines using tools such as Kafka or Spark</p></li><li><p>
Familiarity with data lakehouse architectures (e.g., Delta Lake, Apache Iceberg)</p></li><li><p>
Exposure to machine learning workflows and supporting ML data infrastructure</p></li><li><p>
Experience working in an Agile or DevOps environment with CI/CD practices applied to data workflows</p></li></ul><p><b>
Tools &amp; Technology</b></p><ul><li><p>
Python, SQL, or Scala</p></li><li><p>
Apache Airflow, dbt, or equivalent pipeline orchestration tools</p></li><li><p>
Snowflake, BigQuery, or Redshift</p></li><li><p>
AWS, GCP, or Azure</p></li><li><p>
Kafka or Spark (advantageous)</p></li><li><p>
Google Workspace</p></li><li><p>
Slack, Zoom, Jira, and other remote collaboration tools</p></li></ul><p><b>
Please NOTE</b></p><p>
It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps&mdash;the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.</p><p>
We connect top talent with vetted employers, competitive pay, and real growth opportunities.</p></div>

The People Placers

<div>
 <p>
  <strong>
   Summary
  </strong>
 </p>
 <p>
  We are seeking a highly skilled
  <strong>
   Data Engineer
  </strong>
  to build and manage our data infrastructure. The ideal candidate will be an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. You will ensure data is accurate, accessible, and optimized for performance to support business intelligence, analytics, and reporting needs.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Database Design &amp; Management:
   </strong>
   Design, develop, and maintain relational databases (e.g. SQL Server, ProgressSQL, Oracle) and cloud-based data warehouses.
  </li>
  <li>
   <strong>
    Strategic SQL and Data Engineering
   </strong>
   : Develop sophisticated, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets for actionable business insights.
  </li>
  <li>
   <strong>
    Data Pipeline Automation &amp; Orchestration:
   </strong>
   Help build, automate, and orchestrate ETL/ELT workflows utilizing SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.
  </li>
  <li>
   <strong>
    Performance Optimization:
   </strong>
   Tune queries and optimize database schema (indexing, partitioning, normalization) to improve data retrieval and processing speeds.
  </li>
  <li>
   <strong>
    Data Integrity &amp; Security:
   </strong>
   Ensure data quality, consistency, and integrity across systems. Implement data masking, encryption, and role-based access control (RBAC).
  </li>
  <li>
   <strong>
    Documentation:
   </strong>
   Maintain technical documentation for database schemas, data dictionaries, and ETL workflows.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills and Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Education:
   </strong>
   Bachelor&rsquo;s degree in computer science, Information Systems, or a related field.
  </li>
  <li>
   <strong>
    SQL Mastery:
   </strong>
   5+ years of experience with advanced SQL (window functions, CTEs, query optimization).
  </li>
  <li>
   <strong>
    Database Expertise:
   </strong>
   Deep understanding of relational database management systems (RDBMS) and data modeling techniques.
  </li>
  <li>
   <strong>
    Cloud Platforms:
   </strong>
   Demonstrated experience with Azure Data Services and other data warehouse technologies.
  </li>
  <li>
   <strong>
    Programming:
   </strong>
   Proficiency in Python for scripting and data manipulation.
  </li>
  <li>
   <strong>
    ETL Tools:
   </strong>
   Familiarity with tools like SSIS or Azure Data Factory.
  </li>
  <li>
   <strong>
    Soft Skills:
   </strong>
   Strong analytical thinking, problem-solving, and communication skills.
  </li>
 </ul>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <ul>
  <li>
   Experience with NoSQL databases (Cosmos DB, MongoDB).
  </li>
  <li>
   Experience with big data frameworks (Apache Spark, Kafka).
  </li>
  <li>
   Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate, Google Professional Data Engineer).
  </li>
 </ul>
 <p>
  <strong>
   Typical Work Environment
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Tools Used:
   </strong>
   SQL IDEs (DBeaver, SSMS), Cloud Consoles, Git, Jira, SSIS.
  </li>
  <li>
   <strong>
    Industry:
   </strong>
   Leasing.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Salary is $130-$140k
  </strong>
 </p>
 <p>
  <strong>
   NOTE: NOT accepting
  </strong>
  C2C (Corp-to-Corp) or C2H (Contract-to-Hire)
 </p>
</div>


Appgain

<p>We are looking for a focused and highly skilled <b>Part-Time Data Engineer</b> to join our team.<br/>You will be responsible for designing, building, and maintaining our data pipelines and infrastructure. Since this is a part-time role we are looking for a professional who can work independently, prioritize high-impact tasks, and ensure our data is clean, accessible, and reliable for our software products and business analytics.<br/><b>Key Responsibilities</b></p><p><b>1. Data Architecture &amp; ETL</b></p><ul><li>Design and implement robust ETL/ELT pipelines to move data from various sources (APIs, Databases, Logs) into our data warehouse.</li><li>Optimize data flow and collection for cross-functional teams (Product, Engineering, Sales).</li><li>Ensure data integrity and high availability for our software applications.</li></ul><p><b>2. Infrastructure &amp; Maintenance </b></p><ul><li>Monitor and tune database performance and query efficiency.</li><li>Implement data security and privacy best practices (GDPR/Compliance).</li><li>Maintain and scale our data stack (e.g., PostgreSQL, BigQuery, Snowflake, or similar).</li></ul><p><b>3. Tooling &amp; Collaboration </b></p><ul><li>Build internal tools for data monitoring and automated reporting.</li><li>Work closely with the Project Coordinator and Developers to ensure data requirements are met for new feature launches.</li></ul><p><b>Required Technical Stack</b></p><ul><li><b>Languages:</b> Mastery of <b>SQL</b> and <b>Python</b> (or Scala/Java).</li><li><b>Data Tools:</b> Experience with orchestration tools like <b>Airflow</b>, Prefect, or dbt.</li><li><b>Cloud:</b> Proficiency in <b>AWS, Azure, or GCP</b> (Google Cloud Platform).</li><li><b>Big Data:</b> Familiarity with Spark, Kafka, or NoSQL databases is a plus.</li></ul><p><b>Required Experience </b></p><ul><li><b>Experience:</b> 3&ndash;5 years of professional experience in Data Engineering.</li><li><b>Autonomy:</b> Proven ability to manage your own time and deliver projects within a part-time schedule.</li><li><b>Communication:</b> Crystal-clear English communication (essential for asynchronous work and documentation).</li></ul><p>Application Question(s):</p><ul><li>This role requires coming to the office for meetings when needed</li></ul><p>Do you mind that ?</p><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>Data Engineer: 4 years (Preferred)</li></ul><p>Work Location: Hybrid remote in Giza</p>

SR .Data Engineer (Part-Time)

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SR .Data Engineer (Part-Time)