Senior Software Engineer - Data Capture Team
Company: The Walt Disney Company
Location: San Francisco
Posted on: November 8, 2024
Job Description:
Disney Entertainment & ESPN TechnologyOn any given day at Disney
Entertainment & ESPN Technology, we're reimagining ways to create
magical viewing experiences for the world's most beloved stories
while also transforming Disney's media business for the future.
Whether that's evolving our streaming and digital products in new
and immersive ways, powering worldwide advertising and distribution
to maximize flexibility and efficiency, or delivering Disney's
unmatched entertainment and sports content, every day is a moment
to make a difference to partners and to hundreds of millions of
people around the world.A few reasons why we think you'd love
working for Disney Entertainment & ESPN Technology
- Building the future of Disney's media business: DE&E
Technologists are designing and building the infrastructure that
will power Disney's media, advertising, and distribution businesses
for years to come.
- Reach & Scale: The products and platforms this group builds and
operates delight millions of consumers every minute of every day -
from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and
ESPN+, and much more.
- Innovation: We develop and execute groundbreaking products and
techniques that shape industry norms and enhance how audiences
experience sports, entertainment & news.The Product & Data
Engineering team is responsible for end to end development for
Disney's world-class consumer-facing products, including streaming
platforms Disney+, Hulu, and ESPN+, and digital products &
experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC
News. The team drives innovation at scale for millions of consumers
around the world across Apple, Android, Smart TVs, game consoles,
and the web, with our platforms powering core experiences like
personalization, search, messaging and data.About The RoleThe Data
Capture team for the Data organization within the DE&ET
organization is in search of a Lead Software Engineer. As a member
of the Data Capture team you will establish the foundational set of
core platform frameworks and pipelines which are a vital key to
success - enabling dozens of engineering and analytical teams to
unlock the power of data to drive key business decisions and
provide engineering, analytics, and operational teams the critical
information necessary to scale the largest streaming service.
Expanding, scaling, and standardizing the core foundational
principles through consistent observability, lineage, data quality,
logging, and alerting across all engineering teams in the Data
organization is imperative to the creation of a single pane of
glass. The Data Capture team is seeking to grow their team of
world-class Software Engineers that share their charisma and
enthusiasm for making a positive impact.Responsibilities
- Contribute to maintaining, updating, and expanding the existing
Data Capture platform including the Spark data pipelines while
maintaining strict uptime SLAs.
- Extend functionality of current Data Capture platform
offerings, including metadata parsing, extending the metastore API,
and building new integrations with APIs both internal and external
to the Data organization.
- Implement the Lakehouse architecture, working with customers,
partners, and stakeholders to shift towards a Lakehouse centric
data platform.
- Architect, design, and code shared libraries in Scala and
Python that abstract complex business logic to allow consistent
functionality across the Data organization.
- Collaborate with product managers, architects, and other
engineers to drive the success of the Data Capture platform.
- Lead the developing and documenting both internal and external
standards and best practices for pipeline configurations, naming
conventions, partitioning strategies, and more.
- Ensure high operational efficiency and quality of the Data
Capture platform datasets to ensure our solutions meet SLAs and
project reliability and accuracy to all our stakeholders
(Engineering, Data Science, Operations, and Analytics teams).
- Be an active participant and advocate of agile/scrum ceremonies
to collaborate and improve processes for our team.
- Engage with and understand our customers, forming relationships
that allow us to understand and prioritize both innovative new
offerings and incremental platform improvements.
- Maintain detailed documentation of your work and changes to
support data quality and data governance requirements.
- Provide mentorship and guidance for team members; evangelize
the platform, best-practices, data driven decisions; identify new
use cases and features and drive adoption.
- Tech stack includes Airflow, Spark, Databricks, Delta Lake,
Snowflake, Scala, Python.Basic Qualifications
- 5+ years of software engineering experience developing backend
applications.
- 2+ years of data engineering experience developing large data
pipelines.
- Strong algorithmic problem-solving expertise.
- Strong fundamental Scala and Python programming skills.
- Basic understanding of AWS or other cloud provider resources
(S3).
- Strong SQL skills and ability to create queries to analyze
complex datasets.
- Hands-on production environment experience with distributed
processing systems such as Spark.
- Hands-on production experience with orchestration systems such
as Airflow.
- Some scripting language experience.
- Willingness and ability to learn and pick up new
skillsets.
- Self-starting problem solver with an eye for detail and
excellent analytical and communication skills.Preferred
Qualifications
- Experience with at least one major Massively Parallel
Processing (MPP) or cloud database technology (Snowflake, Redshift,
Big Query).
- Experience in developing APIs with GraphQL.
- Deep Understanding of AWS or other cloud providers as well as
infrastructure as code.
- Familiarity with Data Modeling techniques and Data Warehousing
standard methodologies and practices.
- Familiar with Scrum and Agile methodologies.
- Master's Degree a plus.Required Education
- Bachelor's Degree in Computer Science, Information Systems or
related field or equivalent industry experience.Additional
Information#DISNEYTECHThe hiring range for this position in Santa
Monica, California is $136,038 to $182,490 per year, in Bristol,
Connecticut is $136,038 to $182,490 per year, in Seattle,
Washington is $142,516 to $191,180 per year, in New York City, NY
is $142,516 to $191,180 per year, and in San Francisco, California
is $149,000 to $199,000 per year. The base pay actually offered
will take into account internal equity and also may vary depending
on the candidate'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.
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Keywords: The Walt Disney Company, Tracy , Senior Software Engineer - Data Capture Team, IT / Software / Systems , San Francisco, California
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