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The Data Engineer will report directly to the VP of Data or team lead and work together with the rest of the data engineers, BI analysts, and product teams.
The Data Engineer is responsible for developing, constructing, testing and maintaining the company’s data platform and pipelines. This is achieved by ensuring the infrastructure is reliable and a high level of data quality is maintained.
Responsibilities:
Create and maintain both batch (ETL/ELT) and real-time data pipelines and architecture
Ensure all data provided by Data Platform is of the highest quality and is delivered in a timely manner and in line with agreed SLAs
Assemble large and complex data sets that meet functional and non-functional business requirements
Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
Collaborate with stakeholders including data architects, Executive, Product, Data and IT team members from the beginning to the delivery of a project
Build a scalable, modern, and trusted data ecosystem, making sure it is responsive, available and in line with business requirements
Take part in sprints, workloads, and deliverables through agile methodologies
Manage quality assurance, verification of accuracy and consistency of data, specifically KPI measures sent to the business
Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience
Experience working in an online, gaming, or fast-moving industry
3 years of work experience in data engineers and data platforms
Must have experience in successfully implementing data-centric applications, such as data warehouses, operational data stores, and data integration projects
Experience with SQL, ETL, data modeling, and Python
Experience working with terabyte to petabyte scale data
Functional/Technical Skills
Strong experience with large-scale production databases and SQL
Solid understanding of cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR, EKS, RDS and Lambda
Proficient with one or more big data & new data technologies such as DBT, NIFI, Airflow, Kafka
Knowledge in working with time-series/analytics databases such as Elasticsearch
Understanding of containerization and orchestration technologies like Docker/Kubernetes
Familiarity with Marketing tooling and/or CRM systems is preferred
Familiarity with using business intelligence tools such as Domo, Superset or other similar tooling
What's in it for you:
Work in a new and thriving industry with high growth potential.
Competitive salary and performance bonus.
Medical, Dental, and Vision Insurance.
401k employer matching.
Unlimited PTO with 15 paid holidays.
100% paid parental leave.
Professional training and development opportunities.
Gym reimbursement.
Free workout classes at Prime Cycle in Hoboken, NJ.
1-year free Apple Fitness subscription.
Work in an environment with a start-up feeling, backed-up by a leading European sports betting house. We are a high-volume business and are taking off in the US!
Full Time
Business Services
$133k-164k (estimate)
03/30/2024
05/29/2024
analyticsearch.com
Princeton, NJ
<25
Business Services
The job skills required for Data Engineer (Hybrid Remote) include SQL, Python, AWS, Big Data, Data Warehouse, Computer Science, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer (Hybrid Remote). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer (Hybrid Remote). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer (Hybrid Remote) positions, which can be used as a reference in future career path planning. As a Data Engineer (Hybrid Remote), it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer (Hybrid Remote). You can explore the career advancement for a Data Engineer (Hybrid Remote) below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
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Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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