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# Data Engineer

- **Company:** Digpulse Technologies Inc.
- **Location:** Cherry Hill, NJ, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Airflow, Amazon Web Services, Software Applications, JIRA, Cluster Analysis, Data Validation, Data Files, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Document-Oriented Databases, Github, Google Analytics, Apache Hive, Integrated Development Environments, Python (Programming Language), Machine Learning, MongoDB, MySQL, Natural Language Processing, Oracle (Applications), Raw Data, SAS (Software), PL-SQL, SQL Databases, Data Streaming, Support Vector Machine, Tableau (Software), Text Mining, Azure Data Factory, Informatica Powercenter, Flask (Web Framework), Snowflake, Random Forest, Kubernetes, Information Technology, Xgboost, Splunk, Data Pipelines, K Means, Docker, Jenkins, Databricks
- **Published:** June 11, 2026
- **Apply:** https://www.juju.com/job/00000000g74g5c

## About the Role

Masters degree in Computer Science/Computer Applications/Business Analytics/Technology/Engineering (Mechanical/ I.T./Electrical). Will accept Bachelors degree in Computer Science/Computer Applications/Business Analytics/Technology/Engineering (Mechanical/ I.T./Electrical) plus five (5) years of progressive experience in related fields in lieu of Masters Degree. Will accept foreign education equivalent.

## Description

Critical role designing, developing and maintaining scalable data pipelines, data sets, and systems for the company's data infrastructure. Will be collaborating with stakeholders to understand data requirements; Develop ETL (Extract, Transform, Load) processes to change raw data into usable formats for analysis, use and cost effectiveness utilizing techniques such as partitioning, indexing, and caching; Design and implement data models to support the business analytical and reporting needs; ensure data integrity, consistency, and performance and identify errors and performance issues; perform data quality checks for accuracy and consistency of data across systems and platforms; Work closely with business analysts/software engineers to understand their data needs and provide technical expertise and support. Document data pipelines, processes, and best practices for knowledge sharing and future reference; Identify and resolve issues to ensure uninterrupted data flow and
availability. Relocation/ telecommuting may be required plus travel to various unanticipated client locations within the United States for short and long term assignments.

Languages, skills and tools: Any suitable combination of the following tools: SQL, SAS, Python, PyCharm, Hive, Tableau, GitHub, Jira, MySQL, Oracle, PL/SQL, MongoDB, Informatica ETL, AWS, Databricks, Azure Data Factory, Apache-Airflow, Flask, Docker, Kubernetes, Jenkins, Splunk, Snowflake, SAS, Google Analytics, Supervised and Unsupervised Machine Learning Algorithms, K-Means, SVM, Statistics, KNN, Time Series Forecasting, Survival Analysis, ETL, Business Intelligence, Text Mining, Clustering, Cross-Validation, Support Vector Machine, Decision Tree, Random Forest, A/B Testing, Market Basket Analysis, Linear Discriminant Analysis, Gradient Boosting, Bagging, Natural Language Processing, Sentimental Analysis, Data Modeling, PCA


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