senior data engineer

The Value Maximizer

<div>
 <strong>
  Senior Data Engineer (Informatica &amp; PySpark)
 </strong>
 <strong>
  Position Title:
 </strong>
 Senior Data Engineer
 <strong>
  Location:
 </strong>
 Cleveland, OH or Pittsburgh, PA (3 days onsite)
 <strong>
  Job Duties:-
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience: 8-10 years in Data Engineering and Data Analysis
  </li>
  <li>
   Informatica Expertise: Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization
  </li>
  <li>
   PySpark Development: Advanced skills in PySpark for large-scale data processing, transformation, and analytics
  </li>
  <li>
   Hadoop Ecosystem: Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce)
  </li>
  <li>
   Programming Skills: Proficiency in Python and Kafka for streaming and batch data pipelines
  </li>
  <li>
   Database &amp; Modeling: Strong understanding of database concepts, data design, data modeling, and ETL workflows
  </li>
  <li>
   ETL Lifecycle: Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading
  </li>
  <li>
   Agile Delivery: Hands-on experience with Agile methodology and Jira for project delivery
  </li>
  <li>
   Client Interaction: Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC
  </li>
  <li>
   Preferred Skills:
  </li>
  <li>
   Exposure to AWS data components and analytics
  </li>
  <li>
   Familiarity with machine learning models and AI concepts
  </li>
  <li>
   Experience with data modeling tools such as Erwin
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's or Bachelor's degree in Computer Science or related field
  </li>
  <li>
   Strong problem-solving skills and ability to work in cross-functional teams
  </li>
 </ul>
</div>


Senior Data Engineer

Gambit Technologies

<div>
 <p>
  <strong>
   Senior Data Engineer | NYC Hybrid (4 Days per-week Onsite)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  High-impact role. Real ownership. Build something that actually matters.
 </p>
 <p>
  We&rsquo;re partnering with a large, mission-driven organization tackling complex challenges across public impact initiatives. They&rsquo;re investing heavily in modernizing their data platform and are looking for a senior, hands-on engineer to lead the charge.
 </p>
 <p>
  This is not a maintenance role. You&rsquo;ll help define the future state.
 </p>
 <p>
  <br/>
 </p>
 <p>
  What You&rsquo;ll Be Doing
 </p>
 <p>
  You&rsquo;ll sit at the intersection of engineering and strategy, helping transition a legacy BI environment into a modern, cloud-native data platform.
 </p>
 <ul>
  <li>
   Design and build a cloud-based data warehouse or lakehouse from the ground up
  </li>
  <li>
   Lead the migration from an on-prem SQL Server BI stack to scalable cloud architecture
  </li>
  <li>
   Build and optimize data pipelines that actually perform at scale
  </li>
  <li>
   Own data modeling, testing, observability, and CI/CD best practices
  </li>
  <li>
   Reduce technical debt and stabilize production systems during the transition
  </li>
  <li>
   Partner directly with business stakeholders to deliver meaningful insights
  </li>
  <li>
   Help define standards and mentor others on the team
  </li>
 </ul>
 <p>
  Current Environment
 </p>
 <ul>
  <li>
   SQL Server (data warehouse)
  </li>
  <li>
   Tableau (primary BI tool)
  </li>
  <li>
   Evolving toward modern cloud data platforms
  </li>
 </ul>
 <p>
  What You Bring
 </p>
 <ul>
  <li>
   Strong hands-on Tableau experience (non-negotiable)
  </li>
  <li>
   Deep SQL skills, including large-scale query optimization
  </li>
  <li>
   Proven experience with data modeling for analytics/reporting
  </li>
  <li>
   Experience working with business stakeholders, not just hiding behind code
  </li>
  <li>
   Ability to translate messy data into clear, actionable insights
  </li>
 </ul>
 <p>
 </p>
</div>


MD Anderson Cancer Center

<div>The <b>Senior Data Engineer </b>role sits within the <b>Enterprise Data Engineering &amp; Analytics Department </b>and plays a critical part in operationalizing enterprise data and analytics through the Context Engine framework. The Senior Data Engineer supports digital business initiatives by partnering with technical and institutional teams to deliver governed, secure, and reusable data solutions that accelerate insight generation across the organization.<br>
The Senior Data Engineer contributes to this mission by enabling high-quality, trusted data access that supports clinical, operational, and research decision-making across the enterprise. The Senior Data Engineer works creatively and collaboratively with peers and stakeholders to advance institutional data strategy and analytics delivery.<br>
<br>
The <b>ideal candidate for the Senior Data Engineer</b> role has advanced experience in enterprise data engineering, strong familiarity with cloud-based data pipelines, and a solid understanding of healthcare data environments. A preferred candidate holds a master's degree in a related technical field, has experience with Epic Clarity and Caboodle reporting data models and Microsoft Fabric, and either already has or is prepared to obtain Epic Data Model certification while collaborating effectively across technical and non-technical teams.<br>
<br>
<b>The minimum salary is $123,000, the midpoint is $154,000, and the maximum is $185,000, based on a 40-hour work week. The work location is remote only in Texas.</b><br>
<br>
This role offers the opportunity to directly support MD Anderson's mission by delivering high-impact data and analytics solutions that improve care, operations, and research outcomes. The Senior Data Engineer benefits from meaningful collaboration, exposure to enterprise-scale platforms, and the ability to grow technical and leadership capabilities while supporting a flexible remote work environment.<br>
<ul><li>Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&amp;D, and disability insurance.</li><li>Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.</li><li>Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.</li><li>Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.</li></ul><br>
<b>
Responsibilities</b><br>
<b>Data Engineering and End-to-End Solution Delivery</b><br>
<ul><li>Participate in end-to-end solution delivery across the Context Engine framework to increase enterprise information capabilities</li><li>Build and enhance data sources, pipelines, transformations, and models with integrated data governance processes</li><li>Incorporate data ingestion, curation, ingress, egress, and metadata management practices</li><li>Design and execute SQL and NoSQL queries for analysis, testing, and problem solving</li><li>Collaborate with other data engineers on integration and institutional data management strategies</li></ul><b>
Analytics Delivery and Stakeholder Partnership</b><br>
<ul><li>Gather and refine data requirements to ensure analytics deliverables meet true business needs</li><li>Deliver analytics outputs including reports, metrics, extracts, visualizations, dashboards, and projects</li><li>Promote data analytics and delivery efforts across institutional stakeholders</li><li>Partner with Enterprise Development &amp; Integration and Enterprise Data Science teams on end-to-end solutions</li></ul><b>
Standards, Testing, and System Maintenance</b><br>
<ul><li>Adhere to IS division standard operating procedures and MD Anderson policies</li><li>Support data steward and governance oversight sign-off for institutional data strategy compliance</li><li>Prepare technical documentation for enhancements and new technologies</li><li>Perform quality control, testing, and peer review of analytics builds</li><li>Support system updates, releases, change control, and after-hours application support</li></ul><b>
Education, Training, and Enablement</b><br>
<ul><li>Train data scientists, analysts, and data consumers on data pipelining and preparation techniques</li><li>Assist with development of training plans and curricula for Context Engine tools</li><li>Provide institutional, department, and one-on-one training on analytics deliverables</li><li>Support liaison relationships with customers and OneIS partners</li></ul><b>
OneIS Values and Collaboration</b><br>
<ul><li>Model integrity, trust, partnership, and quality in all interactions</li><li>Build productive and collaborative relationships with customers and colleagues</li><li>Strive for continuous improvement and excellence in outcomes and usability</li></ul><br>
<b>
EDUCATION</b><br>
<ul><li>
Required: Bachelor's Degree</li><li>
Preferred: Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related.</li></ul><br>
<b>
WORK EXPERIENCE</b><br>
<ul><li>
Required: 5 years Relevant information technology experience. or</li><li>
Required: 3 years Relevant experience required with preferred degree.</li><li>
May substitute required education with years of related experience on a one to one basis.</li><li>
Preferred: Experience with data modeling and back end for Epic reporting, cloud base data pipeline and development, building custom objects and custom data loads/load packages in Clarity and Caboodle, experience with Microsoft Fabric and building out data engineering pipelines in Fabric using Python, PySpark and related technologies, and healthcare experience including hospital workflows.</li></ul><br>
<b>
LICENSES AND CERTIFICATIONS</b><br>
<ul><li>
Required: EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic of date of entry into job. within 180 Days</li></ul><br>
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.<br>
<br>
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.<br>
<br>
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html<br>
<br>
Additional Information
<br>
<ul><li>Requisition ID: 179521
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 123,000
</li><li>Midpoint Salary: US Dollar (USD) 154,000
</li><li>Maximum Salary : US Dollar (USD) 185,000
</li><li>FLSA: exempt and not eligible for overtime pay
</li><li>Fund Type: Hard
</li><li>Work Location: Remote (within Texas only)
</li><li>Pivotal Position: Yes
</li><li>Referral Bonus Available?: No
</li><li>Relocation Assistance Available?: No
</li></ul><br>
#LI-Remote</div>

Apolis

<div>
 <br/>
 <strong>
  Senior Data Engineer
  <br/>
 </strong>
 <strong>
  Duration : 12 months with extensions
  <br/>
  Remote work
  <br/>
  <br/>
 </strong>
 <strong>
  Senior Data Engineer
 </strong>
 with experience in designing, building, and scaling modern data platforms, data warehouses, and analytics ecosystems. The ideal candidate has deep expertise in
 <strong>
  dbt
 </strong>
 ,
 <strong>
  Snowflake
 </strong>
 ,
 <strong>
  cloud data warehousing
 </strong>
 ,
 <strong>
  ETL/ELT pipelines
 </strong>
 , and
 <strong>
  data modeling
 </strong>
 , along with a proven ability to partner with business stakeholders to deliver high&hyphen;impact, analytics&hyphen;ready data products.
 <br/>
 This role is highly technical and hands-on, requiring strong SQL development, data architecture skills, and experience building governed, scalable transformation layers using modern data engineering best practices.
 <br/>
 <strong>
  Data Architecture &amp; Engineering
 </strong>
 <ul>
  <li>
   Architect, design, and build
   <strong>
    end&hyphen;to&hyphen;end data warehouses
   </strong>
   and analytics models across Sales, Marketing, Finance, Customer Support, and Product domains.
  </li>
  <li>
   Develop scalable
   <strong>
    dbt pipelines
   </strong>
   using medallion architecture (bronze/staging, silver/intermediate, gold/marts).
  </li>
  <li>
   Build
   <strong>
    incremental models
   </strong>
   , optimize SQL transformations, and reduce compute costs through performance tuning.
  </li>
  <li>
   Create
   <strong>
    custom dbt macros
   </strong>
   for data transformations and process standardization.
  </li>
  <li>
   Implement
   <strong>
    CI/CD workflows
   </strong>
   for dbt deployments across Dev, QA, and Production environments.
  </li>
 </ul>
 <strong>
  Data Modeling &amp; Governance
 </strong>
 <ul>
  <li>
   Design complex
   <strong>
    dimensional models
   </strong>
   , semantic layers, and star/snowflake schemas for enterprise analytics.
  </li>
  <li>
   Implement
   <strong>
    dbt snapshots
   </strong>
   to track SCD changes for customers, contracts, entitlements, and product adoption.
  </li>
  <li>
   Meet with stakeholders to understand requirements and build Business views to support those needs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Leadership &amp; Collaboration
 </strong>
 <ul>
  <li>
   Act as the
   <strong>
    dbt subject matter expert
   </strong>
   , you will help in defining standards and best practices.
  </li>
  <li>
   Mentor junior and mid-level engineers, promoting engineering rigor and code quality.
  </li>
  <li>
   Partner with Product Owners, Analysts, and business leaders to translate requirements into scalable technical solutions.
  </li>
 </ul>
 <strong>
  Required Skills &amp; Experience
 </strong>
 <ul>
  <li>
   5+ years in Data Engineering, ETL/ELT development, or Data Architecture.
  </li>
  <li>
   Expert-level SQL and strong experience with:
   <ul>
    <li>
     <strong>
      dbt Core/Studio
     </strong>
    </li>
    <li>
     <strong>
      Snowflake
     </strong>
    </li>
   </ul>
  </li>
  <li>
   Strong understanding of
   <strong>
    data warehousing
   </strong>
   ,
   <strong>
    dimensional modeling
   </strong>
   , and
   <strong>
    governance
   </strong>
   .
  </li>
  <li>
   Experience with
   <strong>
    Git
   </strong>
   for version control and release management.
  </li>
  <li>
   Excellent communication, problem-solving, and cross-functional collaboration skills.
  </li>
 </ul>
 <strong>
  Preferred Qualifications
 </strong>
 <ul>
  <li>
   Experience working with SnapLogic.
  </li>
  <li>
   Background in building customer-facing data products.
  </li>
  <li>
   Experience with observability tools (Splunk).
  </li>
  <li>
   Proficiency in
   <strong>
    Python.
   </strong>
  </li>
  <li>
   Experience with
   <strong>
    Databricks
   </strong>
   development.
  </li>
 </ul>
</div>


Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>Job Title: Senior Data Engineer</b></h2><p><b>
Location:</b> Remote<br>
<b>Experience</b>: 7 - 10 Years<br>
<br>
<b>Only CV's which are as per JD will be shortlisted</b></p><h3 class="jobSectionHeader"><b>
Role Purpose</b></h3><p>
We are seeking a highly skilled <b>Senior Data Engineer</b> to design, develop, and maintain scalable data pipelines and modern data platforms leveraging the <b>Microsoft Fabric</b> and <b>Azure ecosystem</b>. This role is critical in enabling data-driven decision-making by building efficient, reliable, and high-performance data solutions that support analytics, reporting, and advanced data use cases across the organization.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><h4 class="jobSectionHeader"><b>
Data Engineering &amp; Development</b></h4><ul><li>
Design, build, and maintain robust <b>ETL/ELT pipelines</b> using <b>Azure Data Factory (ADF)</b> and <b>Microsoft Fabric</b></li><li>
Develop and optimize data workflows using <b>PySpark</b> and <b>SQL</b></li><li>
Implement and manage <b>Lakehouse architecture</b> using the <b>Medallion (Bronze, Silver, Gold) layers</b></li><li>
Work with <b>Azure Data Lake Storage (ADLS)</b> and <b>Delta Lake</b> for scalable data storage and processing</li><li>
Integrate data from multiple sources while ensuring <b>data quality, consistency, and reliability</b></li></ul><h4 class="jobSectionHeader"><b>
Collaboration &amp; Enablement</b></h4><ul><li>
Partner with BI developers and analysts to enable <b>data models and reporting solutions</b></li><li>
Collaborate with cross-functional stakeholders to translate <b>business requirements into technical solutions</b></li></ul><h4 class="jobSectionHeader"><b>
Performance &amp; Reliability</b></h4><ul><li>
Monitor, troubleshoot, and optimize <b>data pipelines and system performance</b></li><li>
Ensure high availability and scalability of data platforms</li></ul><h4 class="jobSectionHeader"><b>
Governance &amp; Compliance</b></h4><ul><li>
Implement and enforce <b>data governance, security, and compliance</b> best practices</li><li>
Ensure proper data lineage, cataloging, and documentation</li></ul><p></p><h3 class="jobSectionHeader"><b>
Additional Responsibilities (Senior Level)</b></h3><ul><li>
Lead the design and architecture of <b>scalable data platforms and solutions</b></li><li>
Define and enforce <b>data engineering standards, frameworks, and best practices</b></li><li>
Mentor junior data engineers and conduct <b>code reviews</b> to ensure quality and performance</li><li>
Optimize large-scale data processing and improve <b>system efficiency and cost optimization</b></li><li>
Drive adoption of <b>Microsoft Fabric</b> and modern data engineering practices across teams</li></ul><p></p><h3 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h3><ul><li>
5+ years of experience in <b>Data Engineering</b></li><li>
Strong hands-on experience with:<ul><li><b>
Azure Data Factory (ADF)</b></li><li><b>
Microsoft Fabric</b></li><li><b>
PySpark and SQL</b></li><li><b>
Azure Data Lake Storage (ADLS)</b></li><li><b>
Delta Lake</b></li></ul></li><li>
Solid understanding of <b>data modeling</b>, ETL/ELT concepts, and <b>Lakehouse architecture</b></li><li>
Experience with <b>Medallion architecture (Bronze, Silver, Gold layers)</b></li><li>
Strong problem-solving and performance optimization skills</li><li>
Experience working in <b>cloud-based data platforms (Azure preferred)</b></li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Experience with <b>Power BI</b> or other BI tools</li><li>
Familiarity with <b>data governance and security frameworks</b></li><li>
Exposure to <b>CI/CD pipelines</b> for data engineering workflows</li><li>
Experience working in <b>Agile/Scrum environments</b></li></ul><p>
</p><p>JQOEVJh19a</p></div>

Ciklum

<p></p><div><div><div><div><div><div><div><div><div><div><div><b>Ciklum</b> is looking for a <b>Senior Data Enginee</b>r to join our team in US.</div><p>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.</p><p><b>
About the role:</b></p><p>
As a Senior Data Engineer, you'll become a part of a cross-functional development team engineering experience of tomorrow.</p><p>
Together, we will work on the project you will build analytical tooling and perform data analysis to support AI-driven Pricing Optimization function. You will work closely with data scientists and machine learning engineers to understand the performance of pricing models and identify areas of weakness, and also communicate directly with leadership regarding the results of experiments.</p><p><b>
Responsibilities:</b></p><ul><li>
Develop tooling to facilitate automated self-service analysis of pricing tests. This will involve writing production-quality python and SQL</li><li>
Perform root cause analyses of experiment performance to identify opportunities for improvement in model performance</li><li>
Communicate complex analyses and recommendations clearly and concisely to stakeholders and leadership</li><li>
Collaborate cross-functionally with data science, product management, and business stakeholders to scope and prioritize analytical work</li></ul><p><b>
Requirements:</b></p><ul><li>
3+ years of experience in data analysis using python and SQL</li><li>
Advanced experience with python for data analysis, especially using pandas. This includes the ability to write production-quality code in collaboration with a team</li><li>
Advanced SQL skills. This includes the ability to write production-quality SQL code that is performant and maintainable</li><li>
Experience using git to contribute to a shared repository with coworkers on the same project. This includes the ability to perform basic git command line operations</li><li>
Strong communication skills with the ability to present insights to technical and non- technical audiences, including leadership</li><li>
Familiarity with principles of frequentist statistics, e.g. power, statistical significance</li></ul><p><b>
Desirable:</b></p><ul><li>
Familiarity with basic principles of bayesian statistics, e.g. posteriors</li><li>
Familiarity with basic principles of machine learning, e.g. measures of error</li><li>
Experience working with healthcare data, specifically prescriptions</li></ul><p><b>
What`s in it for you?</b></p><ul><li>
Strong community: Work alongside top professionals in a friendly, open-door environment</li><li>
Growth focus: Take on large-scale projects with a global impact and expand your expertise</li><li>
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li><li>
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li><li>
Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company&rsquo;s Benefit Plans</li></ul><p><b>
About us:</b></p><p>
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the US, Ciklum is growing fast&mdash;inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.</p><p>
Want to learn more about us? Follow us on Instagram, Facebook, .</p><p><b>
Explore, empower, engineer with Ciklum!</b></p><p>
Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.</p><p>
#LI-HD1</p></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>REQUIRED SKILLS</p>
<div><ul><p>Data Processing</p>
<p>Python</p>
</ul></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><p>JOB INFO</p>
<div><div><div><ul><div><div>Job Identification</div>
<div>2933</div>
</div><div><div>Job Category</div>
<div>Data Management</div>
</div><div><div>Posting Date</div>
<div>04/28/2026, 10:02 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>US-Remote
</div></div>(Remote)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Third Sector Intelligence

<div>Description:
<p><b>
This is a fully REMOTE position.</b> <b><i>Only applicants who currently reside in California, Colorado, Oregon, and Washington State will be considered for this role</i></b><b><i>.</i></b></p><p><b>
About 3Si</b></p><p>
Third Sector Intelligence (3Si) is a mission-driven company that provides data and analytics solutions to support early childhood education programs. We are a small, high-performing, and rapidly growing 20-person company with team members in Washington, Colorado, California, and Oregon.</p><p>
We are looking for a passionate and talented Senior Data Engineer to join our team and help us make a real difference in the lives of children and families.</p><p><b>
About the Role</b></p><p>
This role is critical in directly impacting the company&rsquo;s mission to provide data-driven insights to improve early childhood education across the country.</p><p>
3Si is entering a period of significant growth and expansion, with several new contracts and expansions expected in 2026. This growth will require building and maintaining robust, scalable, and secure data pipelines.</p><p>
The Senior Data Engineer will help to automate operational tasks, improve data quality and consistency, and empower other teams to access and utilize data more effectively. The Senior Data Engineer will work closely with other data engineers and BI analysts to implement a vision for a more automated and user-friendly data platform that can be easily deployed to clients.</p><p><b>
Responsibilities</b></p><ul><li>
Design, build, and maintain robust and scalable data pipelines using Python and SQL.</li><li>
Contribute to the development of a modular platform architecture that supports client-specific customizations while maintaining a clean and efficient core system.</li><li>
Develop and implement automation for routine operational tasks, such as data ingestion and configuration management. This includes automating manual data uploading processes.</li><li>
Develop and maintain a comprehensive unit testing framework for ETL processes and data transformations to ensure data quality.</li><li>
Implement comprehensive logging, monitoring, and alerting mechanisms for all ETL processes and data transformations.</li><li>
Work directly with clients and cross-functional teams; strong communication skills and professionalism are essential.</li><li>
Provide guidance and mentorship to junior engineers to enhance their technical skills.</li></ul>
Requirements:
<h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li>
5+ years of experience as a Data Engineer or in a similar role.</li><li>
Strong programming skills in Python and SQL.</li><li>
Experience working with cloud environments for data storage, processing, and deployment.</li><li>
Experience with workflow orchestration tools.</li><li>
Experience with data modeling, ETL development, and data warehousing.</li><li>
Experience with unit testing and source control.</li><li>
Excellent communication and collaboration skills, including the ability to communicate technical concepts to non-technical audiences.</li><li>
Ability to work independently and as part of an agile team.</li><li>
Passion for data quality, automation, and building scalable systems.</li><li>
Experience working with large datasets from diverse sources.</li><li>
Ability to effectively prioritize tasks and manage time to meet deadlines.</li><li>
Strong problem-solving skills and a desire to learn and grow professionally.</li></ul><p><b>
Bonus Points</b></p><ul><li>
DevOps experience, including containerization and infrastructure-as-code.</li><li>
Understanding of cloud security, governance, and cost optimization.</li><li>
Experience building and maintaining APIs that facilitate data movement across systems.</li><li>
Experience developing and deploying ML pipelines, LLM models, and predictive analytics solutions.
</li><li>Experience working with early childhood education data.</li></ul><p><b>
Benefits</b></p><ul><li>
Be a part of a company experiencing significant growth and making a real difference.</li><li>
Work on a small, collaborative, and high-performing team.</li><li>
Make a direct impact on the company's success.</li><li>
Flexible remote work environment.</li><li>
Competitive salary and benefits package.</li></ul><p>
 <b>3Si Perks</b></p><p>
3Si offers a professional and fun work environment. We recognize and value our employees and strive to create a supportive environment for our team. Here are some of the &quot;perks&quot; we provide to ensure our employees can thrive:</p><ul><li>
Competitive compensation with base salary range of $135k - $165k, plus annual bonus plan.</li><li>
100% Company sponsored Medical, Dental, Vision, STD, EAP, and voluntary life/AD&amp;D plans.</li><li>
Paid Time Off starting at 3 weeks per year and 11 paid holidays.</li><li>
401k retirement plan + match.</li><li>
Home office stipend upon hire and annually every January thereafter.</li><li>
Career development opportunities.</li></ul><p><i>
3Si provides equal opportunity for all applicants without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, sexual orientation, veteran status, or any other basis protected by state or federal law.</i></p></div>

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