aws data engineer

BCforward

<div>
 <p>
  <strong>
   BCForward is currently seeking a highly motivated AWS Data Engineer for an On-site opportunity in Seattle, WA
  </strong>
 </p>
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  <strong>
   Role: AWS Data Engineer
  </strong>
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  <strong>
   Duration: 6+ months
  </strong>
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  <strong>
   Locations: Seattle, WA
  </strong>
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 <p>
  <strong>
   Anticipated Start Date:
  </strong>
  04/13/2026
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 <p>
  <strong>
   Job Type:
  </strong>
  Contract &ndash; Onsite
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an AWS Data Engineer with strong experience in building and managing data solutions on AWS.
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 <p>
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  <strong>
   Key Skills:
  </strong>
  AWS (EC2, S3, RDS, VPC), Python, Redshift (Must Have), AWS Glue, Athena, Lambda
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 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
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   Build and maintain data pipelines and AWS infrastructure
  </li>
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   Work with Redshift for data warehousing and querying
  </li>
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   Use Glue, Athena, and Lambda for data processing and automation
  </li>
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   Support cloud deployments, monitoring, and troubleshooting
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   Ensure security and compliance standards are followed
  </li>
  <li>
   Assist in migrating data and applications to AWS
  </li>
 </ul>
 <p>
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 </p>
 <p>
  <strong>
   Benefits:
  </strong>
 </p>
 <p>
  BCforward offers all eligible employees a comprehensive benefits package, including, but not limited to, major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About BCforward:
  </strong>
 </p>
 <p>
  Founded in 1998 on the idea that industry leaders needed a professional service and workforce management expert to
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  fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing
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 <p>
  unique solutions supporting value capture and digital product delivery needs for organizations around the world.
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  Headquartered in Indianapolis, IN, with an Offshore Development Center in Hyderabad, India, BCforward&rsquo;s 6,000
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  Consultants support more than 225 clients globally.
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  BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our
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  With core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients
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  achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to
 </p>
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  become a market leader and best in class place to work.
 </p>
 <p>
  BCforward 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, or protected veteran status and will not be discriminated against based on disability.
 </p>
 <p>
  To learn more about how BCforward collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask for you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BCforward will only use this information to complete the recruitment process.
 </p>
 <p>
  This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at-will, regardless of the anticipated assignment duration.
 </p>
</div>


AWS Data Engineer

The GEO Group, Inc.

<div>Benefits Information:
<p>
Position is onsite Full-Time in the Boulder/Gunbarrel office.</p><p></p><p><b><br>
This job posting is anticipated to remain open until April 30th, 2026</b></p><p></p><p><br>
Full-time employees will enjoy a competitive benefits package with options for you and your family including:</p><div><div><ul><li>3 weeks Paid Time Off</li></ul><ul><li><br>
15 Paid Holidays</li></ul></div><div><ul><li><br>
401(k) Matching</li></ul><ul><li><br>
Health Insurance</li></ul></div><div><ul><li><br>
Vision Insurance</li></ul><ul><li><br>
Life Insurance</li></ul></div><div><ul><li><br>
Health Savings Account</li></ul><ul><li><br>
Tuition Reimbursement</li></ul></div><div><ul><li><br>
Employee Discount</li></ul><ul><li><br>
Reduced Tuition Rates</li></ul></div><div><ul><li><br>
Disability Insurance</li></ul><ul><li><br>
Employee Assistance Program</li></ul></div><div><ul><li><br>
401(k)</li></ul><ul><li><br>
Pet Insurance</li></ul></div><div><ul><li><br>
Dental Insurance</li></ul><ul><li><br>
Paid Training</li></ul></div><div><ul><li><br>
Flexible Spending Account</li></ul></div></div><p></p><p><br>
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.</p><p><b>
Equal Opportunity Employer</b></p>
Overview:
<div>
BI is one of the leading technology companies in Colorado and the largest provider of innovative electronic monitoring solutions in the United States. We excel at proving technological solutions to over 1,000 agencies nationwide and allowing those agencies to fulfill their missions without worrying about the technical complexities.</div>
Qualifications:
<div><b>
Minimum Requirements</b></div><ul><li>
Bachelor&rsquo;s Degree in Computer Science or related field or equivalent experience.</li><li>
At least five (5) years of professional experience in data engineering, database administration, or software development with a &quot;data focus.&quot;</li><li>
At least three (3) years of experience building and managing large-scale data solutions.</li><li>
United States citizenship required.</li><li>
Ability to receive client&rsquo;s approval to work on contract required.</li><li>
Must live in the US 3 of the last 5 years (military and study abroad included).</li><li>
SQL expertise, including query optimization, indexing, partitioning, and database tuning.</li><li>
Working knowledge of data collection and management tools.</li><li>
Experience with AWS data services, such as Redshift, S3, Glue, Athena, Step Functions, and Lambda.</li><li>
Hands-on experience with ETL/ELT workflow tools.</li><li>
Experience working with Tableau (or similar visualization tools) to support data visualization and dashboarding.</li><li>
Familiarity with data lake architecture, including AWS Data Lake integration and best practices.</li><li>
Experience with data obfuscation tooling, such as Glue DataBrew and Faker</li><li>
Understanding of data warehousing principles and dimensional modeling.</li><li>
Experience working in Agile environments and familiarity with CI/CD practices in data engineering.</li><li>
Effective communication skills with internal and external contacts at all levels, both written and verbal.</li><li>
Excellent analytical skills and commitment to continuous improvement of data insights.</li><li>
Ability to perform problem analysis and resolution.</li><li>
Ability to maintain confidentiality with regard to information stored in operational databases. Ability to work with computers and the necessary software typically used by the department.</li></ul><div><b>
Working Conditions: Encountered on a regular basis as part of the work this job performs.</b></div><ul><li>
Typical office environment.</li><li>
Some work in computer-testing lab with cold temperatures, and high noise levels from hardware alarms.</li><li>
Ability to reach with hands and arms and to use hands to finger, handle or feel to move computers and testing equipment.</li><li>
Ability to climb or balance, stoop, kneel, crawl or crouch, to move computers and testing equipment.</li></ul><div>
BI Incorporated</div>
Responsibilities:
<div><b>
Summary</b></div><div>
The Data Engineer is responsible for developing and maintaining data infrastructure components, including data pipelines, databases, data lakes, and data warehouses, to support accurate and timely data access for business intelligence and analytics. This role collects, processes, and transforms raw data into structured, usable formats for reporting and insights. The Data Engineer works with AWS cloud services, SQL, scripts, and big data tools to support large datasets, optimize performance, and automate data workflows to build business intelligence reports.</div><div></div><div><b><br>
Primary Duties and Responsibilities</b></div><ul><li>
The Data Engineer designs, develops, and maintains scalable and reliable data pipelines for ingesting, transforming, and storing structured and unstructured data.</li><li>
Implements ETL/ELT workflows using AWS services.</li><li>
The Data Engineer ensures data integrity, security, and governance through best practices in validation and monitoring.</li><li>
Builds and maintains data warehouse solutions.</li><li>
The Data Engineer manages and optimizes AWS Data Lake environments, integrating data from multiple sources for analytics and reporting.</li><li>
Implements data modeling best practices to enhance performance and scalability.</li><li>
Optimizes query performance, indexing, partitioning, and storage costs across warehouse and data lake environments.</li><li>
The Data Engineer works with Tableau and other visualization tools to ensure seamless data integration for business reporting and analytics.</li><li>
Builds data extracts, materialized views, and optimized datasets for efficient reporting.</li><li>
The Data Engineer collaborates with business analysts and product teams to ensure data is structured for self-service analytics.</li><li>
Stays up to date with emerging data engineering technologies and best practices.</li><li>
The Data Engineer assembles large, complex sets of data that meet non-functional and functional business requirements.</li><li>
Identifies, designs, and implements internal process improvements for scalability, data delivery optimization, and automation.</li><li>
The Data Engineer builds required infrastructure for optimal extraction, transformation, and loading of data from various data sources using AWS and SQL technologies. Builds analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics, including operational efficiency and customer acquisition.</li><li>
Works with stakeholders, including Executive, Product, Data, and Design teams, to support data infrastructure needs and assist with data-related technical issues.</li><li>
Performs other duties as assigned.</li></ul>
Pay: Pay USD $110,000.00/Yr. to USD $125,000.00/Yr.</div>

DATA ENGINEER

Smarty

<div><p>We are looking for a skilled <b>Data Engineer</b> to join our Business Intelligence team at Smarty, a growing SaaS company. In this role, you will be responsible for designing, building, and maintaining the data infrastructure that powers our analytics and reporting capabilities. You will work closely with data analysts and business stakeholders to ensure that clean, reliable, and well-structured data is always available when and where it's needed.</p><p></p><p><i><br>
This is an onsite, non-remote position in Orem, UT.</i></p><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li>
Design, build, and maintain scalable data pipelines and ELT workflows using open-source/self-hosted Airbyte and custom Python</li><li>
Develop and maintain dbt models, tests, and documentation to transform raw source data into reliable fact and dimension tables</li><li>
Manage and optimize our AWS data lakehouse architecture, including S3 storage, Glue data catalog, and Athena query layer</li><li>
Orchestrate automated data workflows using AWS Step Functions and EventBridge schedules</li><li>
Deploy and manage Lambda functions for near-real-time pipelines, reverse ETL, and Slack-based data delivery</li><li>
Manage infrastructure as code using AWS CloudFormation for Lambdas, Step Functions, and Glue resources</li><li>
Maintain and administer Airbyte for data ingestion across sources such as HubSpot, MySQL databases, Google Analytics, and others</li><li>
Write and maintain bespoke Python pipelines for sources and use cases not well-served by off-the-shelf connectors</li><li>
Monitor pipeline health via AWS CloudWatch, respond to failures, and maintain data quality through dbt testing</li><li>
Manage AWS services including ECS/ECR (containerized pipeline execution), Secrets Manager, SNS, and IAM</li><li>
Collaborate with data analysts to support Power BI reporting, including scheduled semantic model refreshes</li><li>
Document data architecture, pipelines, and operational runbooks to support team knowledge and continuity</li></ul><h2 class="jobSectionHeader"><b>
Who You Are</b></h2><ul><li>
3+ years of experience in a Data Engineering or similar role</li><li>
Strong hands-on experience with <b>dbt</b> (data build tool) &mdash; modeling, incremental strategies, testing, and documentation</li><li>
Proficiency in <b>Python</b> for data pipeline development and automation</li><li>
Strong working knowledge of <b>AWS data services</b>, including:</li><li><div><ul><li><b>
Amazon S3</b> &mdash; storage management, partitioning, lifecycle</li><li><b>
Amazon Athena</b> &mdash; query optimization, DDL management</li><li><b>
AWS Glue</b> &mdash; data catalog, crawlers, DDL management</li><li><b>
AWS Lambda</b> &mdash; event-driven processing and automation</li><li><b>
AWS Step Functions &amp; EventBridge</b> &mdash; pipeline orchestration and scheduling</li><li><b>
AWS ECS/ECR</b> &mdash; running containerized workloads</li><li><b>
AWS CloudFormation</b> &mdash; infrastructure as code</li><li><b>
AWS CloudWatch</b> &mdash; logging and monitoring</li><li><b>
AWS IAM &amp; Secrets Manager</b> &mdash; permissions and credential management</li></ul></div></li><li>
Experience managing an <b>Airbyte</b> (or similar ELT tool such as Fivetran) deployment and its source connections</li><li>
Solid SQL skills and comfort with data modeling concepts (staging, intermediate, fact/dimension layers)</li><li>
Familiarity with <b>MySQL</b> or similar relational databases as data sources</li><li>
Experience with version control (Git/Bitbucket or similar) and code review workflows</li><li>
Strong problem-solving skills and a proactive approach to pipeline monitoring and data quality</li><li>
Nice to have:</li><li><div><ul><li>
Experience integrating with SaaS APIs such as Salesforce, HubSpot, Google Analytics, or Help Scout</li><li>
Familiarity with Power BI or other BI tools (Tableau, Looker, etc.)</li><li>
Experience with reverse ETL patterns (pushing transformed data back to source systems)</li><li>
Experience working in a SaaS company environment or with product usage/billing data</li><li>
Familiarity with Apache Iceberg or similar table formats (VACUUM/OPTIMIZE operations)</li><li>
AWS certifications (e.g., AWS Certified Data Engineer, Solutions Architect)</li></ul></div></li></ul><p></p><p><b><br>
Benefits and Perks</b></p><ul><li>
Competitive compensation (DOE)</li><li>
100% paid health, dental, and basic life insurance premiums (including family coverage)</li><li>
Long-term disability insurance</li><li>
Generous PTO that increases with tenure</li><li>
401(k) with company matching</li><li>
Ongoing training and professional development</li><li>
Adjustable standing desk and modern tools</li><li>
Drinks, snacks, team lunches, and activities</li><li>
In-office chiropractic services</li><li>
Company retreats and trips to genuinely fun places</li></ul><p></p><p><b><br>
To apply:</b></p><p>
Sounds too good to be true? Apply and find out for yourself.</p><ul><li>
For more information about the company, please visit us at www.smarty.com.</li></ul><p><br>
We are an Equal Opportunity Employer and we require all candidates (that receive and accept employment offers) to complete a background check.</p><p><b><br>
About Smarty</b></p><p></p><p><br>
Since its founding in 2011, Smarty has become a recognized industry leader in address data intelligence (exciting, we know). We provide enterprise-grade SaaS solutions worldwide for address validation, geocoding, and data enrichment.</p><p><br>
Our culture is all about creating, building, helping, and collaborating with energy and excitement. We want to enjoy our time together by being outward toward others, making appropriate efforts to master our respective crafts, and doing lots of fun things together.</p></div>

Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?<br>
<br>
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.<br>
<br>
Key job responsibilities<br>
This is an impactful role within Prime Video (PV) Commerce Analytics, supporting major PV investments in 2026. As a Data Engineer, you will work in one of the world's largest and most complex data warehouse environments, designing and implementing scalable data infrastructure solutions that integrate multiple heterogeneous data sources.<br>
<br>
You will leverage AWS big data technologies including Redshift, EMR/Spark, Andes Data Lake, and native AWS services to build and maintain data pipelines that ingest data from Video Commerce, Digital Commerce, Prime, and Device Platform teams. Your curated datasets will serve 50+ downstream teams for reporting, analysis, machine learning models, and ad-hoc requests.
<br>
<br>
You will build high-performing, scalable data products that directly enable data-driven decision making across Prime Video.
<br>
<br>
Key responsibilities include:<br>
<ul><li>Design complex data pipelines and models powering subscription, transaction, and device registration datasets</li><li>Deliver scalable data solutions on native AWS infrastructure</li><li>Develop data quality validation frameworks and monitoring solutions ensuring data integrity and timeliness</li><li>Build and optimize batch and near real-time processing workflows using Spark, Redshift, and Andes</li><li>Create robust orchestration and monitoring for workflows with complex dependencies</li><li>Collaborate with cross-functional teams to onboard new data sources</li></ul><br>
About the team<br>
The team is primarily based in Seattle with additional presence in New York and London. A data-driven organization focused on Prime Video's growth and commerce analytics, with strong representation in business intelligence, data engineering, and product management functions supporting Prime Video's commercial and analytical needs.<br>
<br>
Cross-functional team building intelligent systems that integrate content and data to deliver personalized customer experiences across streaming, live events, and emerging formats.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer, PV Prime Video TV - Tech

Contour Software

<div><p><b>About Contour</b></p><p></p><p>
Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</p><p><br>
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</p><p><br>
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</p><p></p><div><div><p><b>
The Division:</b><br>
Constellation Payments is a leading global gateway and merchant services provider with special expertise in software integration and recurring transactions representing a wide variety of verticals &ndash; including government entities, municipalities, moving and storage, club management, attractions, fitness, martial arts, event registration and hospitality management.</p></div><p></p><div><p><b>
The Position:</b><br>
We are looking for a Data Engineer to join our development team and participate in different projects. We are looking for proactive people, team players passionate about technology and big data. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing areas of software development.</p></div><div><p>
The selected individuals will work out of the Contour Software Lahore/Karachi/Islamabad resource center office, as an extension of the division-based R&amp;D department.</p></div><p></p><div><p><b>
Role and Responsibilities:</b></p></div><div><ul><li><p>
Write efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows.</p></li></ul></div><div><ul><li><p>
Design, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.</p></li></ul></div><div><ul><li><p>
Develop and expand the organization&rsquo;s data technology stack to support advanced data processing and analytics needs, leveraging tools like AWS MapReduce and PySpark for big data handling.</p></li></ul></div><div><ul><li><p>
Apply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows.</p></li></ul></div><div><ul><li><p>
Continuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration.</p></li></ul></div><div><ul><li><p>
Build a strong understanding of customer business needs to deliver tailored and impactful data solutions, collaborating with stakeholders to translate business requirements into technical implementations.</p></li></ul></div><div><ul><li><p>
Utilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency.</p></li></ul></div><div><ul><li><p>
Monitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics.</p></li></ul></div><p></p><div><p><b>
Required Skills:</b></p></div><div><ul><li><p>
Minimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift.</p></li></ul></div><div><ul><li><p>
Hands on experience with Apache Airflow for designing and managing complex data workflows.</p></li></ul></div><div><ul><li><p>
Deep understanding of data warehouse concepts, architectures, and structures.</p></li></ul></div><div><ul><li><p>
Expertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing.</p></li></ul></div><div><ul><li><p>
Proven ability to design and build robust, scalable data pipelines for big data processing and transformation.</p></li></ul></div><div><ul><li><p>
Hands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies.</p></li></ul></div><div><ul><li><p>
Proficiency in programming languages such as Python for data manipulation, transformation, and analysis. Advanced Python development skills, including experience with AWS SDKs (e.g. boto3) for interacting with cloud services.</p></li></ul></div></div><div><div><ul><li><p>
Proficiency in Apache Kafka for real-time data streaming and event-driven architectures.</p></li></ul></div><div><ul><li><p>
Strong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB</p></li></ul></div><div><ul><li><p>
Experience integrating Python applications with RESTful APIs and external services</p></li></ul></div><div><ul><li><p>
Deep understanding of data security best practices, including encryption at rest and in transit. Hands-on experience in implementing AWS KMS (Key Management Services) for managing encryption keys.</p></li></ul></div><div><ul><li><p>
Familiarity with IAM policies, VPC configurations, and security groups for securing data pipelines.</p></li></ul></div><div><ul><li><p>
Familiarity with machine learning concepts and their application to data cleaning and integration tasks.</p></li></ul></div><div><ul><li><p>
Advanced English proficiency, with excellent communication skills for collaborating with stakeholders</p></li></ul></div></div><p></p><p><b>
Exciting Benefits we offer:</b></p><ul><li><p>
Market-leading Salary</p></li><li><p>
Medical Coverage &ndash; Self &amp; Dependents</p></li><li><p>
Parents Medical Coverage</p></li><li><p>
Provident Fund</p></li><li><p>
Employee Performance-based bonuses</p></li><li><p>
Home Internet Subsidy</p></li><li><p>
Conveyance Allowance</p></li><li><p>
Profit Sharing Plan [Tenured Employees Only]</p></li><li><p>
Life Benefit</p></li><li><p>
Child Care Facility</p></li><li><p>
Company Provided Lunch/Dinner</p></li><li><p>
Professional Development Budget</p></li><li><p>
Recreational area for in-house games</p></li><li><p>
Sporadic On-shore training opportunities</p></li><li><p>
Friendly work environment</p></li><li><p>
Leave Encashment</p></li></ul><p></p><p><b><i>
Disclaimer:</i></b><i> At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</i></p><p></p><p><i>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</i></p></div><p></p>

The Walt Disney Company

<div><div><b>Job ID</b> 10145881 <b>Location</b> Orlando, Florida, United States / Glendale, California, United States <b>Business</b> Disney Experiences <b>Date posted</b> Apr. 13, 2026
<div><h4 class="jobSectionHeader"><b>Job Summary:</b></h4>
<div><p>The Senior Data Software Engineer will create data ingestion pipelines including workloads and applications inside AWS. Implements, troubleshoots, and optimizes distributed solutions based on big data technologies like SQL, S3, Glue, MSK, Snowflake and Redshift to solve large scale processing problems in a Cloud DW environment. Designs syndicated and curated data views that will be used for reporting, analytics, and advanced applications. Apply technical expertise and mathematical concepts to challenging programming problems. Strong communication, interpersonal, and collaboration skills, including the ability to work effectively in an agile / scrum environment.</p><p></p><p><b>
What You'll Do:</b></p><ul><li><p>
Design and develop data pipelines in AWS &amp; Snowflake</p></li><li><p>
Design and develop data views, assist with architecture decisions, deployment, and feedback.</p></li><li><p>
Strong knowledge and practical experience with AWS Services (CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, S3, EC2)</p></li><li><p>
Ability to debug and troubleshoot across a broad technical stack.</p></li><li><p>
Product ownership and strong business support in enterprise level theme park related environment.</p></li><li><p>
Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions.</p></li><li><p>
Provide data and system analysis needed for feature engineering.</p></li></ul><p></p><p><b>
Required Qualifications &amp; Skills:</b></p><ul><li><p>
Minimum of 5 years of years of experience in data engineering with SQL in a Data Warehouse environment</p></li><li><p>
Strong knowledge of Python and object-oriented programming concepts.</p></li><li><p>
Experience building data pipelines and complex data transformations.</p></li><li><p>
5+ years of experience with AWS S3, Glue, MSK, Redshift, Spark, and related tools</p></li><li><p>
Solid working experience with Snowflake native objects like SnowPipe, external/internal stages, external tables, integration objects, stored procedures (Snowflake Scripting), stream &amp; task, data masking, time traveland cloning.</p></li><li><p>
Working knowledge of Data Build Tool (DBT)</p></li><li><p>
5+ years of experience in software development in an agile environment.</p></li><li><p>
Production experience with DevOps Tools like: Terraform or CDK.</p></li><li><p>
Strong conceptual understanding of security at rest and in transit for big data pipelines.</p></li><li><p>
Troubleshooting skills, ability to determine impacts, ability to resolve complex issues, and ability to exercise sound judgment and initiative in complex situations.</p></li><li><p>
Strong systems and data analysis skills, and experience with testing in data space.</p></li><li><p>
Strong domain knowledge of ticketing and entitlement systems. Hands-on experience with architecture, design, data models, eventing infrastructure, and implementation details</p></li></ul><p><br>
 <b>Required Education</b></p><ul><li><p>
Bachelor&rsquo;s Degree in Computer Science, Distributed Computing, Machine Learning, Mathematics or related field</p></li></ul><br>
<p></p>
The hiring range for this position in California is $135,200.00 to $181,200.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate&rsquo;s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.</div></div></div></div>

Sr Data Engineer

LTIMindtree

<div><b>Role description</b><p><b><br>
Job Title: Big data</b> <b>developer</b></p>
<p><b>
Work Location</b> : <b>Tampa, Florida</b></p>
<p><b>
Job Descriptions</b></p>
<ul>
<li>Skills Big Data PySpark</li>
</ul>
<p><b>Responsibilities</b></p>
<ul>
<li>Ensure effective Design Development Validation and Support activities in line with client needs and architectural requirements</li>
<li>Ensure continual knowledge management Adherence to the organizational guidelines and processes</li>
<li>As part of the delivery team your primary role would be to ensure effective Design Development Validation and Support activities to assure that our clients are satisfied with the high levels of service in the technology domain</li>
<li>You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements</li>
<li>You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers</li>
<li>You would be a key contributor to building efficient programs systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey</li>
</ul>
<p><b>Requirements</b></p>
<ul>
<li>A good professional with 6 to 8 years of experience in Bigdata PySpark</li>
<li>Must AWS EKS and Data engineering Pysparkscala</li>
<li>Good knowledge of AWS and Snowflake</li>
<li>Good understanding of CICD and system design</li>
<li>Candidate with prior experience working on technologies on Fund transfer AML knowledge will be an added advantage</li>
<li>Excellent written and oral communications kills</li>
<li>Selfstarter with quick learning abilities</li>
<li>Multitask and should be able to work under stringent deadlines</li>
<li>Ability to understand and work on various internal systems</li>
<li>Ability to work with multiple stakeholders</li>
</ul>
<p><b>Education</b></p>
<ul>
<li>Bachelors Or Masters degree in Computer Science Engineering or related field</li>
</ul><br>
<b>Skills</b><p><b><br>
Mandatory Skills : </b>AWS Cloud Architecture, Big Data Hadoop Ecosystem<br>
<b>Good to Have Skills : </b>Apache Spark, AWS Code Pipeline, Data Architecture, Python</p><b><br>
Other details</b><p><br>
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):</p>
<p>
Benefits and Perks:</p>
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
<p>The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.</p><p></p>
<b>
Disclaimer</b>: The compensation and benefits information provided herein is accurate as of the date of this posting.<p></p>
<b>
LTIMindtree</b> is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.<p></p><b><br>
Benefits</b><br>
Compensation range: $90,032.00 to $134,200.00 per year<br>
<b>About LTM</b><br>
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

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