Service Delivery Data Engineer
Compensation: $94,330.00 - $148,460.00 /year *
Employment Type: Full-Time
Industry: Information Technology
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**Service Delivery Data Engineer**
Location: Open/National no travel requirement listed
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.
Hux is the Human Experience Platform by Deloitte Digital. 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.
Hux has a variety of roles within the Service Delivery group that allow for individuals to work in the fun and exciting environment of one of our Hux Studios (NYC, Chicago, Denver, Seattle, San Fran, Greensboro, Raleigh, Charlotte) or travel to our client sites. Travel expectations vary based on role.
**Work you ll do**
As a Service Delivery Data Engineer, you ll manage the delivery of customer experience & marketing data solutions for our clients. You ll work with the development team performing the technical implementation of customer data platforms (CDPs) and serve as a key player as it relates to data management, with a heavy involvement in advanced down-stream implementations for build projects. Your responsibilities will include:
+ Create technical specifications to drive development of the solution
+ Teaming with engagement managers to communicate project status, risk and issues to clients as appropriate
+ Engaging cloud solution engineers and other domain-specific SMEs (Adobe, Salesforce, Oracle, Google and similar) to support platform implementation as needed
+ Coordinating Testing/SIT/UAT activities as required by project scope and team structure
+ 2 years of related technical experience building data management solutions
+ 2 years of experience building databases within relational and non-relational data engines (MS SQL, MySQL, PostgreSQL, Amazon Redshift, MongoDB, MariaDB, Hadoop, Snowflake, Big Query, and similar)
+ 2 years of experience with data model design and optimization
+ 2 years of understanding and experience building ETL workflows for data processing and hygiene (Informatica, Talend, Spark, Pentaho, SSIS, and similar
+ Limited immigration sponsorship may be available
+ Experience with Programming and Scripting Languages (.NET, Python, Powershell, Java, Batch, Bash and similar)
+ Prefer experience working with public cloud offerings (AWS, Azure, Google Cloud Platform, and similar)
+ Prefer hands-on experience with native public cloud services (AWS Lambda, Glue, S3, Data Pipeline; Azure Functions, Batch, Blob Storage, Data Factory; Google Cloud Platform Functions, Composer, Storage; and similar)
+ Excellent interpersonal skills and the ability to articulate complex technology concepts with technical and non-technical individuals
+ Ability to approach a technical solution to solve for challenges from a business perspective
+ Understanding and experience working with customer centric data and how to define uses for this data to enable business goals
+ Understanding of the full SDLC process
+ Degree in Computer Science, Information Systems, Data Science, Electrical Engineering or related field
+ Experience using C#, Java or Python
+ Experience and knowledge digital marketing analytics
+ Experience with Martech/Adtech tools and how to integrate technologies into the data management solution. (Adobe, Salesforce, Oracle, Google, and similar)
+ Experience in advanced analyticsmachine learning conceptsuse cases and how to apply this technology to customer experience & marketing solutions (predictive modeling, recommendation personalization, channel optimization)
+ Experience working with public cloud offerings (AWS, Azure, Google Cloud Platform, and similar)
+ GCP - (Cloud Functions, Composer, SQL, Storage, Dataproc, Datastore, Kubernetes, Big Query, Stackdriver, Pub/Sub)
+ AWS (Lambda, Glue, Data Pipeline, Redshift, Aurora, Athena/Spectrum, S3/Glacier, Fargate, Cloud Watch, Kinesis)
+ Azure - (Functions, Batch, Blob Storage, Data Warehouse, Data Factory, Containers, Monitor, Service Bus)
**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. at
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. at
**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.
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. at
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. at
Category: Management Consulting
As used in this document, Deloitte means Deloitte LLP and its subsidiaries. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Associated topics: data analyst, data analytic, data architect, data center, data engineer, data integration, data scientist, database, erp, sybase
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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