> Markdown version of [/jobs/ext/4683301-data-engineer](https://www.wearedevelopers.com/jobs/ext/4683301-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Aditi Consulting - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $158,080 - $159,994 - **Contract:** Contract - **Skills:** Airflow, Big Data, BigQuery, Business Process Management, Capability Maturity Model Integration, Information Systems, Databases, Computer Engineering, Data Architecture, Data Distribution Service, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Apache Hadoop, Hadoop Distributed File System, MapReduce, Apache Hive, Python (Programming Language), Open Source Technology, Cloudera, Shell Script, Software Engineering, SQL Databases, Data Storage Technologies, Apache Spark, IT Architecture, Build Management, Pyspark, Information Technology, Data Management, Stream Analytics - **Published:** November 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-plano-tx--250e6d6f-960f-42cc-84af-a4f10e7ca77b ## About the Role Business Model, Customer/Client Research, Information Technology & Information Systems, Data Modeling, Data Management, Big Data, Management Strategy, Strategic Planning, Technical Leadership, Leadership, * 5-7 years of experience in designing and implementing large scale data processing/data storage/data distribution systems * Extensive experience working with large data sets with hands-on technology skills to design and build robust Big Data solutions using Spark framework, GCP Big data services and industry standard frameworks * Ability to work with a multi-technology/cross-functional teams and key stakeholders to guide/manage a full life-cycle solution * Extensive experience in Relational and MPP database platforms like (GCP Bigquery/Hive/Cloud SQL etc) * Open source Hadoop stack/Spark framework * Strong understanding of Big Data Analytics platforms and ETL in the context of Big Data * Excellent problem solving, hands-on engineering skills and communication skills * Broad understanding and experience of real-time analytics * Participate in full Software Development Life Cycle (SDLC) of the Big Data Solution * Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI. Technical Skills Required: * Any combination of below technical skills * Hadoop : HDFS, MapReduce, Hive, Airflow * DW : Bigquery, Hive * Languages : Python, PySpark, Shell Scripting, SQL Scripting * Cloud : GCP Big data native services * Any RDBMS/DWBI technologies * Spark(Mandatory): Spark on GCP Dataproc Education: * Bachelor's degree in a technical field such as computer science, computer engineering or related field required. Skills: * MapReduce * Python * Bigquery ## Description * Position Activities and Tasks * Should be able to design complex and high performance Data architecture * Developing and maintaining strong relations with senior executives-developing new insights into the client's business model and pain points, and delivering actionable, high-impact results * Participating and leading key engagements, in developing plans and strategies of data management processes and IT programs for the business, providing hands on assistance in data modeling, technical implementation of big data solutions * Facilitating, guiding, and influencing the clients and teams towards right information technology architecture and becoming interface between Business leadership, Tech leadership and the delivery teams * Leading and mentoring other developers within the team * Identify the performance bottle-necks and resolve the same * Should be able to work in a team * Ability to produce high quality work products under pressure and within deadlines * To coordinate with developers / other architects / other stakeholders and cross functional teams from organization