Dice is the leading career destination for tech experts at every stage of their careers. Our client, Alltech Consulting Services, Inc., is seeking the following. Apply via Dice today! POSITION / TITLE: Data Engineer Location : Dallas, TX & NY/NJ Full time opportunity/Contract . Job Description: Looking for a data professional with expertise in data engineering and programming to build systems that collect, manage, and convert raw data into usable information for business requirements. As a Data Engineer, you'll play a crucial role in ensuring data reliability, quality, and efficiency within the organization. Responsibilities : • Analyze and organize raw data: Work with various data sources, document parsing, extracting relevant information and structuring it for further processing. • Build data systems and pipelines: Construct robust data pipelines that facilitate data flow from source to Target. • Evaluate business needs and objectives: Understand the company's requirements and align data systems accordingly. • Interpret trends and patterns: Use your analytical skills to identify data patterns. • Conduct complex data analysis and report on results: Dive deep into data to extract meaningful information. • Prepare data for prescriptive and predictive modeling: Ensure data is ready for machine learning and statistical analysis. • Build algorithms and prototypes: Develop and test data processing algorithms. • Combine raw information from different sources: Integrate data from various systems. • Explore ways to enhance data quality and reliability: Continuously improve data processes. • Identify opportunities for data acquisition: Stay informed about new data sources. • Develop analytical tools and programs: Create tools to facilitate data analysis. • Collaborate with data scientists and architects: Work closely with other data professionals to achieve common goals. • Implement data access controls, data encryption, and data masking techniques • Familiarity with data visualization tools and techniques for presenting data • Create and maintain dashboards and reports for stakeholders. Mandatory Skills : • Previous experience as a data engineer or in a similar role with at least 6+ years of relevant work experience. • Good knowledge of programming languages (e.g., Python, Java, Spark, etc). • Design, develop, and maintain data pipelines. • Exposure to process automation. • Experience working with REST APIs and services, messaging and event technologies. • Experience working with large and complex data sets. • Hands-on experience with SQL/No-SQL database (RDS, Redshift, DynamoDB, synapse, big query, mongo, etc.) • Batch/stream data processing experience • Monitor, troubleshoot, and optimize the performance of data infrastructure to ensure scalability, reliability, and cost efficiency. • Stay up to date with cloud services and best practices in data engineering to continuously improve our data ecosystem. • Good exposure on at least two public cloud platforms (Azure/AWS/Google Cloud Platform) • Experience with Graph database (e.g. Neptune, RDF4j, etc.) • Experience with Vector database (e.g. Pinecone, FAISS, etc.) Good-to-Have Skills : • knowledge or work experience in insurance, mortgage, banking domains. • Proficiency in building stream processing systems using kinesis, Kafka, etc. • Familiarity with Docker, Kubernetes, CI/CD and cloud services (AWS, Azure, Google Cloud Platform). • Technical expertise with segmentation techniques. • NLP knowledge