Sr. Data Engineer
Full Time – Permanent Position
Charlotte, NC Area – Remote
This is a great opportunity to join a growing Data team for a globally recognized brand.
You will need to be located in the Charlotte, NC / Carolinas radius and be able to work remotely.
Excellent base, bonus and benefits are offered for this position.
Key Skills for this position:
- Experience in at least one programming language (Python strongly preferred)
- Experience writing performant SQL queries
- Experience working with large datasets and related technologies
- Experience designing, building, & maintaining ETL/ELT pipelines
- Fluency in data science/machine learning basics (model types, data prep, training process, etc.)
- Experience using version control systems (Git strongly preferred)
- Experience working in a remote software development environment
Job Responsibilities:
- You will develop and maintain datasets, databases, pipelines and the Customer Data Platform (CDP) to enable advanced analytics, automation, segmentation, and targeting.
- Gather and understand data requirements, build complex data pipelines, and work to achieve high quality data ingestion goals.
- Build ETL processes and the creation of applications that can connect to remote APIs. Preferably including streaming data into environments such as BigQuery.
- Build and Deploy Data Pipelines on Google Cloud to enable AI & ML capabilities.
- Drive the development of cloud-based data warehouses & business intelligence platforms.
- Design and creation of data led strategies which provide businesses with opportunities to leverage their data for greater insight or performance.
- Proactively suggest, plan, and integrate new tools and methods to improve productivity, efficiency and reduce costs
Qualifications:
- Bachelor’s Degree or equivalent experience in Computer Science or related field
- 8+ years experience as a data warehouse engineer/architect designing and deploying data systems in a startup environment
- Mastery of database and data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide deformalized data marts
- Deep understanding of SQL-based Big Data systems and experience with modern ETL tools
- Expertise in designing data warehouses using Google Big Query
- Experience developing data pipelines in Python
- Hands-on experience with data compute, storage, and security components and using Cloud Platform (preferably GCP) provided Big Data technologies
- Hands-on experience with real time streaming processing as well as high volume batch processing, and skilled in Advanced SQL, GCP BigQuery, Apache Kafka, Data-Lakes, etc.
- Hands-on Experience in Big Data technologies - Hadoop, Hive and Spark, and in an enterprise-scale Customer Data Platform (CDP)
- Experience in at least one programming language (Python strongly preferred), cloud computing platforms (e.g., GCP), big data tools such as Spark/PySpark, columnar datastores (BigQuery preferred), DevOps processes/tooling (CI/CD, GitHub Actions), infrastructure as code frameworks (Terraform), BI Tools (e.g. DOMO, Tableau, Looker,), pipeline orchestration (eg. Airflow)
- Fluency in data science/machine learning basics (model types, data prep, training process, etc.)
- Experience using version control systems (Git strongly preferred)
- Experience with data governance and data security
- Strong analytical, problem solving and interpersonal skills, have a hunger to learn, and the ability to operate in a self-guided manner in a fast-paced rapidly changing environment
- Develop on Google Cloud Platform and other technologies such as BigQuery, Airflow, Python, SQL, Spark/PySpark, Linux, Docker, Kubernetes.
Great Benefits!
- Competitive base salary, bonus and benefits (401K matching, Health Insurance and more)
- Paid Time Off – Paid Holidays, “Winter Break”, Summer Fridays
About Jones Grove
Jones Grove brings over 25 years of dedicated Information Technology recruiting to the marketplace and that has led us to place virtually every function within an IT organization.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.