data warehouse engineer

Red Cat Holdings

<div>
 
 Position Summary
 
 
 
 We&rsquo;re hiring a Data Engineer to build our data foundation from the ground up.
 
 
 Today, our data lives across transactional databases, SaaS tools, and external APIs. Over the next few months, you&rsquo;ll help us stand up our first analytics data warehouse and build the ETL/ELT pipelines that keep it accurate, fresh, and easy to use.
 
 
 You won&rsquo;t be doing this alone&mdash;you&rsquo;ll work closely with stakeholders (Product, Ops, Finance, and Analytics) and with engineering teammates to make pragmatic choices and ship value quickly.
 
 
 
 Essential Duties And Responsibilities
 
 
 
 
 Building Pipelines and Ingestion
 
 
 
 <ul>
 <li>
 Build and maintain ETL/ELT pipelines that ingest data from multiple sources (e.g., internal DBs, SaaS tools, and third-party APIs), and keep them running reliably.
 </li>
 <li>
 Implement scheduling/orchestration, retries, and alerting so failures are visible and recoverable.
 </li>
 <li>
 Design pipelines using incremental processing patterns for scalability and cost efficiency.
 
 
 </li>
 </ul>
 
 Standing up the Warehouse and Models
 
 
 
 <ul>
 <li>
 Help set up our first cloud data warehouse (e.g., Snowflake or BigQuery) and the initial schema/layout.
 </li>
 <li>
 Add data quality checks (tests, constraints, anomaly detection, reconciliation checks) and fix root causes when numbers look wrong.
 </li>
 <li>
 Create lightweight observability: freshness/SLAs, pipeline run monitoring, and basic lineage documentation.
 </li>
 <li>
 Make thoughtful tradeoffs between performance, usability, and maintainability.
 
 
 </li>
 </ul>
 
 Collaboration and Enablement
 
 
 
 <ul>
 <li>
 Work with stakeholders to translate questions into durable datasets (not one-off queries).
 </li>
 <li>
 Document sources, models, and assumptions so teammates can self-serve and onboard quickly.
 </li>
 <li>
 Participate in a reasonable support/on-call rotation once the stack is live.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, data engineering, information systems, or equivalent technical degree.
 </li>
 <li>
 3+ years of data engineering experience, specifically in managing a data warehouse.
 </li>
 <li>
 Strong SQL skills (joins, window functions, building reliable transformation logic).
 </li>
 <li>
 Comfortable in Python (or a similar language) for pipeline code, automation, and data tool glue.
 </li>
 <li>
 Understanding of data warehousing basics: tables, partitions (where relevant), incremental loads, and why modeling choices matter.
 </li>
 <li>
 Some hands-on exposure to ETL/ELT or pipelines in production or in a substantial project/internship (we care about proof you can ship and debug).
 </li>
 <li>
 Solid engineering habits: Git, readable code, and a willingness to write things down.
 
 
 </li>
 </ul>
 
 Additional Desired Qualifications
 
 
 
 <ul>
 <li>
 dbt experience (models + tests + docs) or the ability to ramp quickly.
 </li>
 <li>
 Orchestration experience (Airflow, Dagster, Prefect, or similar).
 </li>
 <li>
 Experience with a cloud data warehouse (Snowflake, BigQuery, Redshift).
 </li>
 <li>
 Experience ingesting data from APIs and messy SaaS exports (rate limits, pagination, schema drift, deduping).
 </li>
 <li>
 Familiarity with basic data quality/observability practices (freshness checks, anomaly detection, monitoring/alerting).
 
 
 </li>
 </ul>
 
 Physical Requirements And Working Conditions
 
 
 
 <ul>
 <li>
 Must be able to walk, stand, and navigate large indoor and outdoor facilities for extended periods of time.
 </li>
 <li>
 Ability to lift, carry, and move materials and equipment weighing up to 25 lbs on a regular basis.
 </li>
 <li>
 Use of personal protective equipment (PPE) may be required in designated areas or when performing specific tasks, in accordance with safety protocols and company policy.
 </li>
 <li>
 May be required to climb ladders, stoop, kneel, or crouch during inspections, maintenance walk-throughs, or emergency response situations.
 </li>
 <li>
 Regular exposure to facility operations including noise, dust, temperature fluctuations, and industrial equipment.
 </li>
 <li>
 Occasional off-hours or weekend work required for emergency facility responses or projects as needed
 </li>
 <li>
 Requires frequent use of a computer and other standard office equipment for documentation, communication, and coordination tasks.
 
 
 </li>
 </ul>
 
 Background
 
 
 Check
 
 
 
 This position will require successfully completing a post-offer background check. Qualified candidates with a criminal history will be considered and are not automatically disqualified, consistent with federal and state law.
 
 
 
 EEO and ITAR/EAR Work Authorization Disclosure
 
 
 
 Red Cat Holdings provides equal employment opportunities (EEO) 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. This position requires direct or indirect access to hardware, software, technology or technical data controlled under the International Traffic in Arms Regulations (ITAR) and the Export Administration Regulations (EAR). Successful candidates for positions subject to ITAR/EAR restrictions must provide proof of U.S. Citizenship or Permanent Residence and must not require sponsorship for export-restricted work authorization.
 
 
 
 E-Verify
 
 
 
 The company participates E-Verify ensure eligibility for employment and compliance with Right to Work rules.
 
 
 Compensation: Base pay, plus generous annual equity package and potential bonuses.
</div>

Data Engineer

Uline

<div><div>Senior Data Engineer
Pay from $96,000 to $148,000 per year
2200 S. Lakeside Drive, Waukegan, IL 60085
Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you&rsquo;ll play a pivotal role in constructing and maintaining our new, cutting-edge data collection systems and analytics platform.
Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on.
Position Responsibilities
</div><div><div><div><div><div><ul><li>Partner with business users to design and build BI and data warehouse solutions.
</li><li>Engage with project leads, analysts and business users to implement and test data warehouse applications.
</li><li>Build complex data engineering processes to support business analytics and reporting.
</li><li>Perform unit, performance and regression testing on ETL mappings.
</li><li>Follow coding standards, review code and enhance quality practices.
</li><li>Oversee production deployments and coordinate with other teams to execute.
</li></ul>Minimum Requirements
<ul><li>Bachelor's degree in information technology or related field.
</li><li>8+ years in data engineering.
</li><li>5+ years of hands-on experience developing ETL using Informatica PowerCenter.
</li><li>Proven experience writing complex T-SQL and DB performance tuning.
</li><li>Strong troubleshooting skills to resolve data issues.
</li><li>Knowledge of SSIS, Python, Azure, Snowflake or Databricks is a plus.
</li><li>Uline does not participate in the H1-B lottery.
</li></ul>Benefits
<ul><li>Complete health insurance coverage and 401(k) with 6% employer match that starts day one!
</li><li>Multiple bonus programs.
</li><li>Paid holidays and generous paid time off.
</li><li>Tuition Assistance Program that covers professional continuing education.
</li></ul>Employee Perks
<ul><li>Caf&eacute; featuring affordable daily meal options from local restaurants.
</li><li>On-site fitness center and beautifully maintained walking paths.
</li><li>Best-in-class, clean, modern facilities.
</li></ul>About Uline
Uline, a family-owned company, is North America&rsquo;s leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations.
Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site.
EEO/AA Employer/Vet/Disabled
#LI-LM5
#CORP
(#IN-PPITL1)
#ZR-HQIT
</div></div></div></div></div>Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore https://www.uline.jobs/#working-here_blankUline.jobs to learn more!</div>

Senior Data Engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Database, Project Manager, Data Warehouse, SQL, Quality Assurance, Technology
</div>

Data Engineer (m/f/d)

True Classic

<div>True Classic is hiring a Data &amp; Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards.
This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices &mdash; including pipeline design, data modeling, testing, and documentation &mdash; and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment.
All of True Classic&rsquo;s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise.<h2 class="jobSectionHeader">
Areas of Accountability</h2><h3 class="jobSectionHeader">
Extend &amp; Maintain the Data Platform</h3><ul><li>
Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality</li><li>
Contribute to completion of open data model workstreams across inventory, media, and product functions</li><li>
Expand data source connectivity and pipeline coverage across marketing and fulfillment systems</li><li>
Maintain and improve ETL/ELT workflows via Daasity and BigQuery</li><li>
Help monitor and optimize cloud data infrastructure for cost and performance</li></ul><h3 class="jobSectionHeader">
Bridge Data to the Business</h3><ul><li>
Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders</li><li>
Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&amp;L</li><li>
Contribute to predictive models for demand forecasting, inventory planning, and revenue projections</li><li>
Build and maintain the serving layer that the AI team queries &mdash; clean, modeled BigQuery tables in place of direct API calls</li></ul><h3 class="jobSectionHeader">
AI-Augmented Development</h3><ul><li>
Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development</li><li>
Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools</li><li>
Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring</li></ul><h3 class="jobSectionHeader">
Cross Functional Collaboration</h3><ul><li>
Work with finance to ensure financial data structures support forecasting and P&amp;L reporting needs</li><li>
Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications</li><li>
Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
4+ years of experience in data engineering or analytics engineering</li><li>
Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation</li><li>
Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development</li><li>
Strong SQL skills including joins, window functions, and CTEs</li><li>
Python proficiency for pipeline scripting, API integrations, and light modeling</li><li>
Familiarity with statistical modeling and predictive analytics (regression, time series)</li><li>
Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations</li><li>
Proficiency with AI coding tools &mdash; daily use expected</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
NetSuite or ERP experience</li><li>
Daasity, Shopify/Amazon data</li><li>
Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale),</li><li>
Omni/Looker, GitHub-based workflows</li></ul><h2 class="jobSectionHeader">
Workplace Arrangement</h2>
This role is on-site (5x week in office) based in Calabasas, CA.<h2 class="jobSectionHeader">
Compensation and Benefits</h2><h3 class="jobSectionHeader">
Compensation</h3><ul><li>
Competitive Salary + bonus</li></ul><h3 class="jobSectionHeader">
Time Off</h3><ul><li>
Unlimited PTO and sick time</li></ul><h3 class="jobSectionHeader">
Health &amp; Wellness</h3><ul><li>
Company-paid medical, dental, and vision insurance</li><li>
$100/month Health &amp; Wellness stipend</li><li>
Free Employee Assistance Program (EAP)</li></ul><h3 class="jobSectionHeader">
Work &amp; Growth Support</h3><ul><li>
$100/month Personal Workspace/Office stipend</li></ul><h3 class="jobSectionHeader">
Perks</h3><ul><li>
$1,000/year True Classic merchandise allowance</li><li>
401(k) plan with 3% company match</li></ul></div>

Data & Analytics Engineer

Arrow Electronics

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

Wells Fargo

<div>About this role:
Wells Fargo is seeking a Senior Data Engineer to join the CSBB Deposits Data &amp; Insights team Technology. The Consumer Technology organization provides data technology services to the Enterprise-wide lines of businesses, functions, and leaders. Business alignment includes Enterprise Risk, Enterprise Finance, Enterprise Data Management and Insights, Human Resources, Public Affairs (including Marketing), Customer Excellence, Audit and Legal. 
 
The Senior Data Engineer will be part of the BMG Data Warehouse team within the Consumer and Small Business/Digital Data team. The BMG data warehouse supports key Deposits, Servicing, and Debit/Credit Data sets used by CSBB and other LOB business partners for reporting and analytics. The role will be responsible for providing technical expertise for solution design for medium to complex data work efforts, hands-on development, code reviews and QA for the current state BMG Data Warehouse platform. The role may also include work related to the Target State Cloud Platform Strategy, Roadmap, and Migration activities.
In this role, you will:<ul><li>
Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables</li><li>
Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting</li><li>
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors</li><li>
Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis</li><li>
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements</li><li>
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals</li></ul> 
Required Qualifications:<ul><li>
4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul> 
Desired Qualifications:<ul><li>
4+ years of experience with Apache Spark, ETL(Ab Initio/Informatica/Data Stage), DBMS(Teradata/SQL Server), Java/Python/Scala(Programming language), Cloud essentials</li><li>
3+ years of Teradata and Unix experience</li><li>
2+ years of Data Engineering experience using Cloud Technologies, preferably with GCP &ndash; Google Cloud</li><li>
2+ years of AI technology implementations</li><li>
2+ years of experience with Agile</li><li>
2+ years of experience using Database Tools: Teradata, Load / Unload Utilities, Big Query</li><li>
Strong analytical skills with high attention to detail and accuracy</li><li>
Excellent verbal, written, and interpersonal communication skills</li><li>
Advanced SQL experience</li><li>
Advanced Microsoft Excel skills using power query</li><li>
Technical application support experience</li><li>
Ability to research, trend, analyze and model data</li><li>
Customer service focused with experience actively listening, eliciting information, comprehending customer issues/needs, and recommending solutions</li><li>
Ability to act as a liaison between the client area and technical organization</li><li>
Effective organizational, multi-tasking, and prioritizing skills</li><li>
Solid knowledge and understanding processes, procedures, and technologies</li></ul> 
Job Expectations:<ul><li>
Ability to work in a fast-paced environment</li><li>
Ability to understand business requirements and translate into data models and solutions that efficiently meet customer needs</li><li>
Works quickly and independently to meet required sprint objectives</li><li>
Actively participates in cross-team meetings and is excited to share knowledge for broader team improvement</li></ul>
Posting End Date:
2 Aug 2026<ul><li>Job posting may come down early due to volume of applicants.</li></ul>
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

The Paper Store

<div>TPS Group Holdings, a family of brands including The Paper Store, Uncharted, and Gifts &amp; More, is all about transforming daily routines into joyful escapes that inspire and surprise. Our mission is to connect with every customer through carefully chosen products, immersive shopping experiences, and service that goes the extra mile &mdash; creating a space that sparks joy with every visit.
Position Overview: We are seeking an experienced Data Engineer to own and optimize end-to-end data pipeline operations across our Snowflake data warehouse environment. This is a highly technical, hands-on role focused on building, maintaining, and scaling production-grade ETL pipelines.
Direct experience withwith SSIS, and Snowflake is required. This role is best suited for someone who has built and supported enterprise data pipelines using these platforms and is comfortable working in a production environment.
The Data Engineer will be responsible for ensuring operational visibility, data quality, and the overall reliability of our data ecosystem. This is not a general analytics or BI role; it requires strong ETL engineering expertise and the ability to support a growing, evolving data environment.
What You Will Own<ul><li>
Be a TPS Brand Ambassador by contributing to a positive culture, encouraging open communication, and maintaining confidential information as required.</li><li>
Design, develop, and maintain production-grade ETL pipelines using Matillion and SSIS.</li><li>
Build, optimize, and maintain data models within Snowflake.</li><li>
Develop and maintain data pipelines that support efficient data extraction, transformation, and loading processes.</li><li>
Integrate new data sources into enterprise data pipelines.</li><li>
Monitor data infrastructure for performance, reliability, and operational visibility.</li><li>
Ensure data quality and integrity through validation, cleansing, error handling, and data controls.</li><li>
Improve the performance, scalability, and robustness of existing data infrastructure.</li><li>
Design and optimize data storage solutions, including data warehouses and data lake environments.</li><li>
Partner with data analysts, data architects, software engineers, and business partners to understand data requirements and deliver reliable data sets.</li><li>
Support business intelligence needs by ensuring data is accurate, accessible, and structured for reporting and decision-making.</li><li>
Implement data security measures and access controls to protect sensitive information.</li><li>
Automate and improve data processes and workflows for scalability and efficiency.</li><li>
Document data pipelines, processes, standards, and best practices for knowledge sharing.</li><li>
Partner with cross-functional teams to support data governance, compliance, and data-driven decision-making.</li><li>
Stay current on industry trends and emerging technologies in data engineering.</li><li>
Provide technical guidance and support to junior team members, if applicable.</li><li>
Continuously optimize data architecture to support the company&rsquo;s evolving data needs.</li></ul>
What We Are Looking For<ul><li>
2+ years of relevant data engineering experience</li><li>
Hands-on experience with Matillion is a plus</li><li>
Hands-on experience with Snowflake is required</li><li>
Experience with SSIS or similar ETL tools is required</li><li>
Strong SQL skills, including writing queries, joins, stored procedures, and data transformations</li><li>
Experience building, maintaining, and supporting ETL pipelines in a production environment</li><li>
Proficiency in data modeling and database management</li><li>
Experience with data warehousing and cloud-based data platforms</li><li>
Strong programming skills, such as Python, Java, or SQL</li><li>
Understanding of data quality, data validation, error handling, and data governance practices</li><li>
Ability to troubleshoot pipeline failures, performance issues, and data discrepancies</li><li>
Strong documentation skills and attention to detail</li><li>
A team-player mindset, including the willingness to pivot as business needs change and assist others to meet deadlines</li><li>
Ability to work 3+ days per week at the Corporate Office in Acton, MA</li></ul>
Compensation &amp; Benefits<ul><li>
Base salary: $80,000 - $100,000, commensurate with experience</li><li>
Comprehensive benefits package including medical, dental, vision, and 401(k)</li><li>
Paid time off and company holidays</li><li>
Associate discount across TPS Group brands</li></ul>
TPS Group Holdings LLC is an equal opportunity employer. We are committed to building a diverse and inclusive team that reflects the communities we serve. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, veteran status, disability, or any other characteristic protected by applicable law.</div>

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