Here are some sample job advertisements for different types of Data Engineer roles:
Senior Data Engineer – Hux
Hux Senior Data Engineer
Locations: New York, NY – Greensboro, NC – Chicago, IL – Raleigh, Durham, Chapel-Hill, NC
What is Hux? Hux is the Human Experience Platform by Deloitte Digital.
In today’s world, customers expect companies to know who they are and what they want. Customers want to have products, services or experiences that best suit their needs delivered to them seamlessly across physical and digital channels.
Customers are human first: driven by dynamic wants, needs, and desires. The ability for brands to make personal, meaningful connections on a human level has never been greater and Hux by Deloitte Digital delivers on those experiences in a way that allows companies to own the customer journey end to end. We help companies connect key data sources to understand what matters most to people; connect to advanced technologies like AI and machine learning to sense and respond to those needs at scale; and connect their systems to unlock insights, create collaboration and drive acquisition, engagement and loyalty. Most importantly, we empower companies to connect with customers in personal, meaningful ways that respect them as people, not just customers.
Hux by Deloitte Digital gives companies the ability to build and leverage the connections – between people, systems, data and technologies – so they can deliver personalized, contextual experiences to customers at scale.
Work you’ll do
As a Senior Data Engineer-Hux, you’ll design, implement and maintain a full suite of real-time and batch jobs that fuels our cutting-edge AI to provide real-time marketing intelligence to our existing clients.
You’ll develop, test and deliver production-grade code to help our clients solve their most critical marketing challenges using cutting-edge big-data tools. You’ll also ensure data integrity, resolve production issues, and assist in the support and maintenance of our overall platform.
As you grow your capabilities and learn how to build a platform that can ingest, load and process billions of data points, you’ll enjoy new challenges and opportunities to showcase your development skills by joining project teams to build innovative new-client platforms and execute high-value strategic development projects with high visibility.
Your responsibilities will include:
- Design, construct, install, test and maintain highly scalable data pipelines with state-of-the-art monitoring and logging practices.
- Bring together large, complex and sparse data sets to meet functional and non-functional business requirements.
- Design and implement data tools for analytics and data scientist team members to help them in building, optimizing and tuning our product.
- Integrate new data management technologies and software engineering tools into existing structures.
- Help in building high-performance algorithms, prototypes, predictive models and proof of concepts.
- Use a variety of languages, tools and frameworks to marry data and systems together.
- Recommend ways to improve data reliability, efficiency and quality.
- Collaborate with Data Scientists, DevOps and Project Managers on meeting project goals.
- Tackle challenges and solve complex problems on a daily basis.
The team
Advertising, Marketing & Commerce
Our Advertising, Marketing & Commerce team focuses on delivering marketing and growth objectives aligned with our clients’ brand values for measurable business growth. We do this by creating content, communications, and experiences that engage and inspire their customers to act. We implement and operate the technology platforms that enable personalized content, commerce and marketing user-centric experiences. In doing so, we transform our clients’ marketing and engagement operations into modern, data-driven, creatively focused organizations. Our team brings deep experience in creative and digital marketing capabilities, many from our Digital Studios.
We serve our clients through the following types of work:
- Cross-channel customer engagement strategy, design and development
- (web, mobile, social, physical)
- eCommerce strategy, implementation and operations
- Marketing Content and digital asset management solutions
- Marketing Technology and Advertising Technology solutions
- Marketing analytics implementation and operations
- Advertising campaign ideation, development and execution
- Acquisition and engagement campaign ideation, development and execution
- Agile based, design-thinking, user-centric, empirical projects that accelerate results
Qualifications
Required:
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8+ years of experience in software development, a substantial part of which was gained in a high-throughput, decision-automation related environment.
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4+ years of experience in working with big data using technologies like Spark, Kafka, Flink, Hadoop, and NoSQL datastores.
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3+ years of experience on distributed, high-throughput and low-latency architecture.
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1+ years of experience deploying or managing data pipelines for supporting data-science-driven decisioning at scale.
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A successful track-record of manipulating, processing and extracting value from large disconnected datasets.
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Producing high-quality code in Python.
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Passionate about testing, and with extensive experience in Agile teams using SCRUM; you consider automated build-and-test to be the norm.
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Proven ability to communicate in both verbal and writing in a high performance, collaborative environment.
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Follows data development best practices, and enjoy helping others learn to do the same.
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An independent thinker who considers the operating context of what he/she is developing.
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Believes that the best data pipelines run unattended for weeks and months on end.
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Familiar with version control, you believe that code reviews help to catch bugs, improves code base and spread knowledge.
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Ability to travel 5-10% of the time
Helpful, but not required:
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Knowledge in:
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Experience with large consumer data sets used in performance marketing is a major advantage.
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Familiarity with machine learning libraries is a plus.
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Well-versed in (or contributes to) data-centric open source projects.
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Reads Hacker News, blogs, or stays on top of emerging tools in some other way
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Data visualization
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Industry-specific marketing data
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Technologies of Interest:
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Languages/Libraries – Python, Java, Scala, Spark, Kafka, Hadoop, HDFS, Parquet.
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Cloud – AWS, Azure, Google
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How you’ll grow
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Deloitte’s culture
Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte.
Corporate citizenship
Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world.
Recruiter tips
We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.
Sr. Data Engineer
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry.Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations.
At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance.
If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
- Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
- Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
- Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
- Build and maintain dimensional data warehouses in support of business intelligence tools
- Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
- Drive and maintain a culture of quality, innovation and experimentation
- Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications :
- 3-5 years of experience developing in object oriented Python
- Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
- Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
- Familiar with metadata management, data lineage, and principles of data governance
- Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
- Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
- Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
- Experience deploying data notebook and analytic environments such as Jupyter and Databricks
- Knowledge of the Python data ecosystem using pandas and numpy
- Experience building and deploying ML pipelines: training models, feature development, regression testing
- Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
Junior Data Engineer (Contract)
ASCAP is home to more than 700,000 music creator members across all genres – the greatest names in music, and thousands more in the early stages of their careers. We are the world leader in performance royalties, advocacy, and service for music creators, and are the only PRO in the U.S. run by its members including songwriters, composers, and music publishers.ASCAP technologists live our mission and we are passionate about what we do for our customers and we practice what we preach. Our technologists serve with humility and a deep respect for their responsibility in helping our business partners and members achieve their goals and realize their dreams. We have an infectious and lively culture and we recognize our successes monthly at our Thursday on-site social hour celebrations. We stand behind our mission and are committed to delivering the impossible.Bottom line? We outthink ordinary. Discover what you can do with technology at ASCAP!
We are looking for someone who is passionate about data and who enjoys solving challenging problems by coming to understand and utilize complex datasets. You will be working closely with the data strategy team on high-impact revenue-generating and cost-saving projects for the business, specifically ensuring stakeholders have the data they need for analysis and can trust the integrity of the data. You will be responsible for setting up and maintaining critical data pipelines into our big data environment along with marrying various complex datasets to support analyses. You will also be a key contributor in moving our on-premise big data environment to the cloud.
Responsibilities:
- Build critical data ingestion pipelines for new datasets required to support organization-wide analytics’ needs, while ensuring data integrity is well-maintained
- Support day-to-day activities of the data strategy team responsible for key revenue-driving or cost-saving analyses, specifically mining for critical datasets and/or taking the lead on complex analyses
- Help drive self-service analytics throughout the organization by capturing and organizing important data and/or domain knowledge in a centralized location
- Support our cloud-migration effort, moving our on-premise big data environment to the cloud
Qualifications:
- You have a bachelor’s degree in computer science or equivalent experience
- 1-2 years of hands-on experience using SQL
- You are by nature a curious individual and a lifelong learner
- You are meticulous and cautious in how you approach a challenge, ensuring that you check and document your work along the way
- You find it fun thinking critically and creatively with others
- You have a passion for data and find yourself using it to defend your position or to support a new decision
- You love music and enjoy the idea of supporting music creators
Skills:
- Strong SQL knowledge
- Experience in Python and/or a similar coding language
- Excellent verbal and written communication skills
- Exposure to Tableau or similar reporting/visualization tools
What We Love About You:
- Curious: You are a lifelong learner and are driven to answer unanswered questions
- Hands-On: You are willing to get your hands dirty in order to accomplish the task at hand. You have a personal mantra of “there’s always a way…”
- Data-Driven: You leverage data to support your opinions and find that more detail is always preferable.
- Honest: You’re willing to admit you don’t know the answer or that you have made a mistake. You consider analysis a moral endeavor and strive to prepare truthful output independent of any potential consequence.
- Audible: You speak up when you disagree or don’t understand something. There are no rockstars. We want to hear what you think.
- Master of Your Craft: You take pride in your work and strive to learn more to hone your skills.