senior data engineer

Arrow Electronics

<div>
 <strong>
  Position
  <br/>
  <br/>
 </strong>
 Senior Data Engineer
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Seeking an experienced Senior Data Engineer to design, development, and optimization of
 <br/>
 <br/>
 our data pipelines, data models, and analytics infrastructure. The ideal candidate has
 <br/>
 <br/>
 strong experience in building scalable data platforms across operational systems and
 <br/>
 <br/>
 enterprise data warehouses.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 Core Responsibilities
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 Additional Responsibilities for Data Models &amp; Structures (Operational + DW)
 <br/>
 <br/>
 <ul>
  <li>
   Own the design and maintenance of logical and physical data models for
   <br/>
   <br/>
  </li>
 </ul>
 operational systems and enterprise data warehouse (OLTP + DWH).
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Must-Have Requirements
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 Nice-to-Have Skills
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 <br/>
 <br/>
 <strong>
  Time Type
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Job Category
  <br/>
  <br/>
 </strong>
 Information Technology
</div>


Senior Data Engineer

Uline

<div><div><p><b>Senior Data Engineer</b>
</p><p></p><p><b>Pay from $96,000 to $148,000 per year</b>
</p><p></p><p><b>2200 S. Lakeside Drive, Waukegan, IL 60085</b>
</p><p></p><p>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.</p>
<p></p><p><b>Careers Packed with Potential. </b>Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on.</p>
<p></p><p><b>Position Responsibilities</b>
</p></div><div><div><div><div><div><ul><li><p>Partner with business users to design and build BI and data warehouse solutions.</p>
</li><li><p>Engage with project leads, analysts and business users to implement and test data warehouse applications.</p>
</li><li><p>Build complex data engineering processes to support business analytics and reporting.</p>
</li><li><p>Perform unit, performance and regression testing on ETL mappings.</p>
</li><li><p>Follow coding standards, review code and enhance quality practices.</p>
</li><li><p>Oversee production deployments and coordinate with other teams to execute.</p>
</li></ul><p></p><p><b>Minimum Requirements</b>
</p><ul><li><p>Bachelor's degree in information technology or related field.</p>
</li><li><p>8+ years in data engineering.</p>
</li><li><p>5+ years of hands-on experience developing ETL using Informatica PowerCenter.</p>
</li><li><p>Proven experience writing complex T-SQL and DB performance tuning.</p>
</li><li><p>Strong troubleshooting skills to resolve data issues.</p>
</li><li><p>Knowledge of SSIS, Python, Azure, Snowflake or Databricks is <b>a plus.</b>
</p></li><li><p>Uline does not participate in the H1-B lottery.</p>
</li></ul><p></p><p><b>Benefits</b>
</p><ul><li><p>Complete health insurance coverage and 401(k) with 6% employer match that starts day one!
</p></li><li><p>Multiple bonus programs.</p>
</li><li><p>Paid holidays and generous paid time off.</p>
</li><li><p>Tuition Assistance Program that covers professional continuing education.</p>
</li></ul><p></p><p><b>Employee Perks</b>
</p><ul><li><p>Caf&eacute; featuring affordable daily meal options from local restaurants.</p>
</li><li><p>On-site fitness center and beautifully maintained walking paths.</p>
</li><li><p>Best-in-class, clean, modern facilities.</p>
</li></ul><p></p><p><b>About Uline</b>
</p><p></p><p>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.</p>
<p></p><p>Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site.</p>
<p></p><p>EEO/AA Employer/Vet/Disabled</p>
<p></p><p>#LI-LM5</p>
<p>#CORP</p>
<p>(#IN-PPITL1)</p>
<p>#ZR-HQIT</p>
</div></div></div></div></div><p></p><p>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!</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 Engineer</b> to join our team full-time in the 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, become a part of a cross-functional development team engineering experiences of tomorrow.</p><p><b>
Responsibilities:</b></p><ul><li>
Responsible for the building, deployment, and maintenance of mission-critical analytics solutions that process terabytes of data quickly at big-data scales</li><li>
Contributes design, code, configurations, manage data ingestion, real-time streaming, batch processing, ETL across multiple data storages.</li><li>
Performs development, QA, and dev-ops roles as needed to ensure total end-to-end responsibility of solutions.</li><li>
Responsible for performance tuning of complicated SQL queries and Data flows</li><li>
Identify gaps and improve the platform&rsquo;s quality, robustness, maintainability, and speed</li><li>
Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members.</li><li>
Contribute in the Unit&rsquo;s activities and community building, participate in conferences, and provide excellence in exercise and best practices.</li></ul><p><b>
Requirements:</b></p><ul><li>
3+ years of experience coding in SQL, Java, Python, Scala, with solid CS fundamentals including data structure and algorithm design</li><li>
2+ years contributing to production deployments of large backend data processing and analysis systems</li><li>
1+ years of hands-on implementation experience working with a combination of the following technologies: Hadoop, Map Reduce, Pig, Hive, Impala, Spark, Kafka, Storm, SQL and NoSQL data warehouses such as Hbase and Cassandra.</li><li>
2+ years of experience in cloud data platforms (AWS, Azure, GCP)</li><li>
Knowledge of professional software engineering best practices for the full software</li><li>
Knowledge of Data Warehousing, design, implementation and optimization</li><li>
Knowledge of Data Quality testing, automation and results visualization</li><li>
Knowledge of BI reports and dashboards design and implementation (PowerBI, Tableau)</li><li>
Knowledge of the development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.</li><li>
Experience participating in an Agile software development team, e.g. SCRUM</li><li>
Experience designing, documenting, and defending designs for key components in large distributed computing systems</li><li>
A consistent track record of delivering exceptionally high-quality software on large, complex, cross-functional projects</li><li>
Demonstrated ability to learn new technologies quickly and independently</li></ul><p><b>
What&rsquo;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><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>MySQL</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>3659</div>
</div><div><div>Job Category</div>
<div>Data Management</div>
</div><div><div>Posting Date</div>
<div>07/06/2026, 03:37 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>

Karsun Solutions LLC

<div>Overview:
<div><b>
Summary</b></div><div>
The candidate must have a successful track record in handling complex data pipelines for high transaction volume application and reporting/analytics data with minimal supervision. The candidate will be expected to support a variety of structured and semi-structured data in streaming and batch frameworks for both migration from and synchronization with legacy systems. The Senior Data Engineer provides support to the Application database design to aid in eliminating data duplication and enabling selective event-based and schedule-based data transfer to endpoints within the cloud and legacy environment as required. The Senior Data Engineer drives towards programmatic pipeline generation and orchestration to enhance repeatability and rapid deployment, using Databricks, PySpark, and Airflow, out-of-the-box thinking, AWS native capabilities, and CI/CD tools while utilizing established design patterns, specifically the Medallion architecture.</div>
Responsibilities:
<div><b>
What You'll Be Doing:</b></div><ul><li>
Designs, implements, and operates data management systems using Databricks and PySpark.</li><li>
Defines and adheres to best practices for implementing the Medallion architecture diligently across all data layers.</li><li>
Orchestrates complex data pipelines and workflows using Apache Airflow.</li><li>
Works with product and application owners, data stewards, and business/data analysts to determine, create, and populate required data in an optimal, reliable, and measurable manner.</li><li>
Assists the Data Architects and technical leads in designing how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems.</li><li>
Plans, designs, and optimizes data throughput and query performance.</li><li>
Participates in the employment of backend database technologies, their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to match expected responsiveness.</li><li>
Utilizes identified COTS, Python, PySpark, and AWS tools and services as needed.</li><li>
Creates and executes medium to complex SQL scripts to validate and test data prior to and during the lifecycle of reports and dataset development.</li></ul><br>
<div></div>
Qualifications and Education:
<div><b>
Required Qualifications:</b></div><ul><li><div>
BA or BS degree in CS, Computer Engineering, Information Technology, or a related field.</div></li><li><div>
Databricks Certified Data Engineer (Associate or Professional) or equivalent experience.</div></li><li><div>
5+ years of hands-on experience with PySpark, Python, and various Python toolkits and libraries for data processing and pipelines.</div></li><li><div>
Proven experience and deep understanding of the Medallion architecture, with the ability to define and adhere to best practices diligently.</div></li><li><div>
Hands-on experience orchestrating complex data workflows using Apache Airflow.</div></li><li><div>
5+ years of experience and ability to create complex SQL queries and functions.</div></li><li><div>
3+ years of work experience on AWS-based datasources such as RDS, Athena, Redshift.</div></li><li><div>
2+ years of hands-on experience in creating ETL and data pipeline design patterns for modular and reliable ETL with robust error management and alerting.</div></li><li><div>
1+ year of experience in Java and Linux scripting is essential.</div></li><li><div>
1+ year of experience working with CI/CD tools including Git for ETL and scripts repository.</div></li><li><div>
1+ year of experience using complex data sets and formats such as JSON, AVRO, parquet.</div></li><li><div>
1+ year of experience in data profiling and quality management.</div></li></ul>
Compensation:
<div>
The proposed salary range for this role is $****** to $******* USD. The salary range provided is a good faith estimate representative of all experience levels. Karsun considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate&rsquo;s work experience, location, education/training, and key skills.</div></div>

Wells Fargo

<div><p><b>About this role:</b></p><p>
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.<br>
<br>
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.</p><p></p><p><b>
In this role, you will:</b></p><ul><li><p>
Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables</p></li><li><p>
Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting</p></li><li><p>
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors</p></li><li><p>
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</p></li><li><p>
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements</p></li><li><p>
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals</p></li></ul><p><b><br>
Required Qualifications:</b></p><ul><li><p>
4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</p></li></ul><p><b><br>
Desired Qualifications:</b></p><ul><li><p>
4+ years of experience with Apache Spark, ETL(Ab Initio/Informatica/Data Stage), DBMS(Teradata/SQL Server), Java/Python/Scala(Programming language), Cloud essentials</p></li><li><p>
3+ years of Teradata and Unix experience</p></li><li><p>
2+ years of Data Engineering experience using Cloud Technologies, preferably with GCP &ndash; Google Cloud</p></li><li><p>
2+ years of AI technology implementations</p></li><li><p>
2+ years of experience with Agile</p></li><li><p>
2+ years of experience using Database Tools: Teradata, Load / Unload Utilities, Big Query</p></li><li><p>
Strong analytical skills with high attention to detail and accuracy</p></li><li><p>
Excellent verbal, written, and interpersonal communication skills</p></li><li><p>
Advanced SQL experience</p></li><li><p>
Advanced Microsoft Excel skills using power query</p></li><li><p>
Technical application support experience</p></li><li><p>
Ability to research, trend, analyze and model data</p></li><li><p>
Customer service focused with experience actively listening, eliciting information, comprehending customer issues/needs, and recommending solutions</p></li><li><p>
Ability to act as a liaison between the client area and technical organization</p></li><li><p>
Effective organizational, multi-tasking, and prioritizing skills</p></li><li><p>
Solid knowledge and understanding processes, procedures, and technologies</p></li></ul><p><b><br>
Job Expectations:</b></p><ul><li><p>
Ability to work in a fast-paced environment</p></li><li><p>
Ability to understand business requirements and translate into data models and solutions that efficiently meet customer needs</p></li><li><p>
Works quickly and independently to meet required sprint objectives</p></li><li><p>
Actively participates in cross-team meetings and is excited to share knowledge for broader team improvement</p></li></ul><p></p><p><b>
Posting End Date:</b></p><p></p>
2 Aug 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Fox Corporation

<div><p><b>OVERVIEW OF THE COMPANY</b></p>
Fox Corporation<p></p>
Under the FOX banner, we produce and distribute content through some of the world&rsquo;s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.<p></p><h2 class="jobSectionHeader"><b>
JOB DESCRIPTION</b></h2><p>
AdRise, FOX's advertising technology platform, is looking for a Senior Data Engineer to design and own the data infrastructure powering ad delivery, audience analytics, identity resolution, and campaign measurement at scale. You'll work across Databricks, Snowflake, and AWS to build pipelines that are fast, reliable, and built to last &mdash; and you'll serve as a technical anchor for the broader data engineering team, raising the bar on architecture, code quality, and operational standards.</p><p></p><p>
This is a high-ownership role for an engineer who wants to solve hard data problems, influence platform-level decisions, and directly shape the systems that drive a large-scale streaming ad business.</p><p></p><p><b>
A SNAPSHOT OF YOUR RESPONSIBILITIES</b></p><p><i>
Technical Leadership</i></p><ul><li>
Serve as a senior technical voice on the team &mdash; driving architecture decisions, establishing engineering standards, and leading design reviews</li><li>
Mentor and provide technical guidance to mid-level and junior engineers; participate in code review and raise overall team craft</li><li>
Identify and drive improvements to existing systems &mdash; performance, reliability, cost, and maintainability</li></ul><p><i>
Pipeline &amp; Platform Engineering</i></p><ul><li>
Architect, build, and own complex ETL/ELT pipelines that ingest, transform, and deliver large-scale ad event, identity, and campaign data</li><li>
Design and optimize data models in Databricks (Delta Lake) and Snowflake for performance, cost efficiency, and downstream usability</li><li>
Build and operate real-time and event-driven data flows using Kafka, Kinesis, and AWS-native services (Glue, Lambda, S3, API Gateway)</li><li>
Implement CDC patterns and streaming ingestion to support low-latency analytics and operational data products</li></ul><p><i>
Data Quality, Governance &amp; Observability</i></p><ul><li>
Build and maintain data quality frameworks, validation layers, and alerting pipelines using Datadog and Airflow/Astronomer</li><li>
Champion data governance standards &mdash; lineage, cataloging, access controls &mdash; within Unity Catalog and across the platform</li><li>
Ensure systems are well-documented, observable, and operationally sound</li></ul><p><i>
Cross-Functional Collaboration</i></p><ul><li>
Partner with data analysts, analytics engineers, and ML/data science teams to translate requirements into durable data products</li><li>
Collaborate with platform and infrastructure engineers on shared systems, pipeline dependencies, and cost optimization</li><li>
Interface with stakeholders to define data contracts, SLAs, and schema standards</li></ul><p></p><p><b>
WHAT YOU WILL NEED</b></p><ul><li>
7+ years of hands-on data engineering experience, with depth in pipeline architecture, data modeling, and large-scale data systems</li><li>
Advanced proficiency in Databricks (Delta Lake, Unity Catalog, Workflows) and Snowflake</li><li>
Strong Python skills; Scala a plus</li><li>
Solid experience with AWS data services: Kinesis, S3, Glue, Lambda, API Gateway</li><li>
Experience with real-time / event-driven architectures (Kafka, Kinesis, or equivalent)</li><li>
Working knowledge of Airflow or Astronomer for orchestration</li><li>
Familiarity with Datadog or comparable observability tooling for data pipelines</li><li>
Demonstrated ability to own systems end-to-end &mdash; from design through production operations</li><li>
Strong communication skills; able to articulate technical tradeoffs to both engineering and non-engineering stakeholders</li></ul><p></p><p><b>
NICE TO HAVE, BUT NOT A DEALBREAKER</b></p><ul><li>
Experience in digital advertising, connected TV, or streaming media &mdash; ad delivery, identity graphs, audience segmentation, or campaign measurement</li><li>
Experience with identity resolution systems (UID2, HEM, or similar)</li><li>
CI/CD for data pipelines and infrastructure-as-code (CDK or Terraform)</li><li>
Familiarity with dbt or analytics engineering patterns</li><li>
Agile/Kanban experience in a data or platform engineering environment</li></ul><p></p><p><b>
WHY JOIN ADRISE</b></p><ul><li>
Own meaningful infrastructure in a high-scale, real-time ad tech environment powering FOX's connected TV business</li><li>
Work with a modern, cloud-native stack &mdash; Databricks, Delta Lake, Kafka, Kinesis, AWS &mdash; with real investment behind it</li><li>
Collaborate with a team that values engineering rigor, documentation, and building systems that last</li><li>
Be part of a platform that sits at the intersection of identity, audience, and programmatic advertising &mdash; a genuinely interesting problem space</li></ul><p></p><p>
#Ll-Hybrid</p><p>
#Ll-JT1</p><p></p><p>
Learn more about Fox Tech at https://tech.fox.com</p>
#foxtech<p></p><p><i>
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.</i></p><p></p>
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $143,000.00-170,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.<p></p><p>
View more detail about FOX Benefits.</p></div>

<div><p>Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work&reg;. At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life.</p><p></p><p>
The <b>Senior Data Engineer</b> is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions.</p><p></p><p><b>
Responsibilities:</b></p><ul><li>
Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API&rsquo;s. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.</li><li>
Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.</li><li>
Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.</li><li>
Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).</li></ul><p></p><p><b>
Requirements:</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.</li><li>
Master&rsquo;s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.</li><li>
Minimum of eight (8) years of experience as a data engineer with full-stack capabilities</li><li>
Minimum of ten (10) years of Experience in programming</li><li>
Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.</li><li>
Strong SQL Knowledge</li><li>
Experience in ML and ML Pipeline a plus</li><li>
Experience in real-time integration, developing intelligent apps and data products.</li><li>
Proficiency in Python and experience with CI/CD practices</li><li>
Strong background in IAAS platforms and infrastructure</li><li>
Hands-on experience with Databricks, Spark, Fabric, or similar technologies</li><li>
Experience in Agile methodologies</li><li>
Hands-on experience in the design and development of data pipelines and data products</li><li>
Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.</li><li>
Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.</li><li>
Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.</li><li>
Extensive experience in designing data applications in a cloud environment.</li><li>
Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.</li><li>
Extensive experience in Data Architecture and data modeling</li><li>
Expert in data analysis and data quality frameworks.</li><li>
Knowledgeable with BI tools such as Power BI and Tableau.</li><li>
May occasionally work evenings and/or weekends.</li></ul><p></p><p>
Compensation</p>
The anticipated pay range/scale for this position is $121,116.00 to $151,395.00 Annually. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience.<p></p><p>
Additional Compensation</p>
This position is eligible to receive a discretionary annual bonus.<p></p><p>
Perks and Benefits</p><p>
Employees have the opportunity to participate in medical, dental and vision insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts; 401(k) with company matching contributions; employee stock purchase plan; and a tuition reimbursement program. The Company provides 9 paid holidays per year, and, upon hire, new employees will accrue paid time off (PTO) at a rate of 0.0577 hours of PTO per hour worked, up to a maximum of 120 hours per year.</p><p></p><p><b>
CA Privacy Notice: </b>To learn more about what information we collect when you apply for a job, and how we use that information, please see our CA Job Applicant Privacy Notice found at https://www.amh.com/ca-privacy-notice.</p>
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