Senior Data Engineer ID75059
Tampa, FL · On-site +1
$100K - $136K/yr
... a thematic research platform that processes large volumes of financial data daily. You will ... Flexible schedule with remote and office options.
Senior Data Engineer ID75059
Tampa, FL · On-site +1
$100K - $136K/yr
... a thematic research platform that processes large volumes of financial data daily. You will ... Flexible schedule with remote and office options.
Senior Data Engineer ID75059
Miami, FL · On-site +1
$101K - $137K/yr
... a thematic research platform that processes large volumes of financial data daily. You will ... Flexible schedule with remote and office options.
Senior Data Engineer ID75059
Miami, FL · On-site +1
$101K - $137K/yr
... a thematic research platform that processes large volumes of financial data daily. You will ... Flexible schedule with remote and office options.
Analyze customer needs and requirements and research ServiceNow and other various sources of ... Capable of working independently and in collaboration with remote resources to meet deadlines.
Analyze customer needs and requirements and research ServiceNow and other various sources of ... Capable of working independently and in collaboration with remote resources to meet deadlines.
Analyze customer needs and requirements and research ServiceNow and other various sources of ... Capable of working independently and in collaboration with remote resources to meet deadlines.
Analyze customer needs and requirements and research ServiceNow and other various sources of ... Capable of working independently and in collaboration with remote resources to meet deadlines.
Remote Disney Animation Research Library information
What does a typical day look like for someone working remotely at the Disney Animation Research Library?
Working remotely at the Disney Animation Research Library typically involves a blend of digital asset management, research, and collaboration with creative teams. You may spend your day cataloging animation artwork, responding to research requests from animators and producers, and participating in virtual meetings to coordinate ongoing projects. Effective communication and strong organizational skills are important, as you'll collaborate with both on-site and remote colleagues to ensure timely delivery of materials. While you may face challenges in accessing certain physical archives, the role offers opportunities to contribute to high-profile projects and gain exposure to Disney's rich animation history.
What are the key skills and qualifications needed to thrive as a remote Disney Animation Research Library professional, and why are they important?
To thrive in a Remote Disney Animation Research Library role, you need a strong background in library science, archival management, or information studies, typically supported by a relevant degree or certification. Familiarity with digital asset management systems, cataloging software, and remote collaboration tools is essential. Attention to detail, strong organizational skills, and effective communication make someone stand out in this position. These skills ensure the accurate preservation, retrieval, and sharing of valuable animation assets, supporting the creative process efficiently across remote teams.
What is the Remote Disney Animation Research Library?
The Remote Disney Animation Research Library is a digital resource that provides access to the extensive archives of Disney’s animation artwork, sketches, storyboards, and reference materials. It supports animators, researchers, and creative professionals working remotely by offering high-quality digital assets from the studio’s long history. This library allows users to study classic animation techniques, character designs, and production processes without needing to visit the physical archive. It is an invaluable tool for those involved in animation production, academic research, or creative inspiration related to Disney animation.
What is the difference between Remote Disney Animation Research Library vs Remote Animation Archivist?
| Aspect | Remote Disney Animation Research Library | Remote Animation Archivist |
|---|---|---|
| Credentials | Typically requires a degree in library science, film studies, or related fields | Requires a degree in library science, archival studies, or related disciplines |
| Work Environment | Primarily digital access, research, and cataloging for Disney's animation assets | Managing and preserving animation archives, often both digital and physical collections |
| Employer & Industry | Disney, entertainment, animation industry |
The Remote Disney Animation Research Library focuses on providing digital access and research support for Disney's animation assets, while the Remote Animation Archivist manages and preserves both digital and physical animation collections. Both roles require similar credentials and serve the entertainment industry, but their core responsibilities differ in scope and focus.
What are the most commonly searched types of Disney Animation Research Library jobs in Florida? The most popular types of Disney Animation Research Library jobs in Florida are:
What are popular job titles related to Remote Disney Animation Research Library jobs in Florida? For Remote Disney Animation Research Library jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Disney Animation Research Library jobs in Florida look for? The top searched job categories for Remote Disney Animation Research Library jobs in Florida are:
What cities in Florida are hiring for Remote Disney Animation Research Library jobs? Cities in Florida with the most Remote Disney Animation Research Library job openings:
$100K - $136K/yr
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.
WHAT YOU WILL DO
- Design and implement Python Data Engineering solutions;
- Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;
- Design and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;
- Develop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;
- Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;
- Work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;
- Act as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;
- Work with Terraform and other tools to build AWS and on-prem infrastructure.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience;
- 5+ years of experience with Python (strong, hands-on Python experience is a must);
- 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;
- 2+ years of experience with Big Data technologies (Spark, Snowflake);
- Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;
- Deep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);
- Proven ability to work with 3rd party APIs for complex data ingestion tasks;
- Proficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;
- Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;
- Excellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;
- A self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;
- Taking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;
- Strong communication skills for seamless global collaboration with stakeholders and distributed teams;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;
- Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;
- OpenSearch, Elasticsearch;
- AWS Sagemaker Studio, Jupyter for analyze data;
- Terraform;
- Scala.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.
WHAT YOU WILL DO
- Design and implement Python Data Engineering solutions;
- Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;
- Design and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;
- Develop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;
- Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;
- Work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;
- Act as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;
- Work with Terraform and other tools to build AWS and on-prem infrastructure.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience;
- 5+ years of experience with Python (strong, hands-on Python experience is a must);
- 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;
- 2+ years of experience with Big Data technologies (Spark, Snowflake);
- Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;
- Deep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);
- Proven ability to work with 3rd party APIs for complex data ingestion tasks;
- Proficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;
- Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;
- Excellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;
- A self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;
- Taking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;
- Strong communication skills for seamless global collaboration with stakeholders and distributed teams;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;
- Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;
- OpenSearch, Elasticsearch;
- AWS Sagemaker Studio, Jupyter for analyze data;
- Terraform;
- Scala.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
About AgileEngine
Sourced by ZipRecruiter
Industry
Software development
Company size
201 - 500 Employees
Headquarters location
McLean, VA, US
Year founded
2000