Data Dictionary

Data Dictionary Engineer Jobs

2 jobs found

25d ago

Sr Data Engineer

GE Aerospace Dayton, OH

Dayton, OH

25d ago

Full time Senior Analytics Data Analysis

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Job Description

GE Aerospace is seeking a Sr Data Engineer to design, develop, test, and implement data engineering processes that support analytical and reporting needs. In this onsite role in Dayton, OH, you will also prepare data to enable data science outcomes, focusing on automation, timely delivery, and execution aligned with agile methodologies.

Core Responsibilities

Build technical data dictionaries and support business glossaries to help analyze datasets.
Perform data profiling and data analysis across source systems, manually maintained data, machine-generated data, and target repositories.
Create logical and physical data models for both OLTP and OLAP solutions.
Develop and maintain data mapping specifications based on analysis results and functional requirements.
Run data loads and data transformations using multiple tools and technologies.
Build automated ETL jobs based on the established data mapping specifications.
Maintain metadata structures required for reusable ETL components.
Analyze reference datasets and familiarize with MDM tools.
Assess the impact of downstream systems and products.
Conduct deep-dive data analysis to derive solutions and make recommendations.
Design and build Data Quality (DQ) rules.

Required Qualifications

Bachelor’s degree from an accredited university or college with minimum 2 years of professional experience.
Legal authorization to work in the U.S. is required. The employer will not sponsor individuals for employment visas, now or in the future, for this job.
Exposure to industry standard data modeling tools (e.g., ERWin, ER Studio).
Exposure to ETL tools such as Informatica or Talend.
Exposure to industry standard data catalog, automated data discovery, and data lineage tools (e.g., Alation, Collibra, TAMR).
Hands-on experience in programming languages: Java, Python, or Scala.
Hands-on experience writing SQL scripts for Oracle, MySQL, PostgreSQL, or HiveQL, plus experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (e.g., Cassandra or HBase).
Exposure to unstructured datasets and the ability to handle XML and JSON file formats.
Ability to conduct exploratory data analysis, generate visual summaries of data, and proactively identify data quality issues.

Additional Notes

Military experience is equivalent to professional experience.
This role requires access to U.S. export-controlled information. Employment will be contingent upon proof that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, or granted asylee or refugee status (a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).
Relocation assistance: No.

Tools and Technologies

ERWin, ER Studio, Informatica, Talend
Alation, Collibra, TAMR
Java, Python, Scala
SQL, Oracle, MySQL, PostgreSQL, HiveQL
Hadoop, Spark, Hive, Cassandra, HBase
XML, JSON

Location: Dayton, OH (onsite)

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5mo ago

Senior Analytics Engineer

Orchard New York, NY

New York, NY

5mo ago Closed

$135k - $180k/yr Full time Senior Analytics Business Intelligence

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

Senior Analytics Engineer at Orchard in New York, NY (hybrid) with a salary of USD 135,000 - 180,000 per year.

Responsibilities

Lead major analytics platform initiatives from scoping through delivery, collaborating with the Director to shape where the roadmap goes next and align with business priorities.
Bring new data sources from raw ingest into production gold-tier dbt models that the organization can rely on, focusing on speed and quality.
Author and maintain the prose semantic layer with Markdown documentation detailing what each model means, how metrics are defined, the historical decisions that shaped the data, and where potential landmines lie.
Develop and refine the LLM powered query layer on top, including prompts, retrieval, evaluations, and a feedback loop to improve results when they are incorrect.
Stand up agents to monitor certified dashboards for anomalies and trend shifts, iterating settings until executives trust the alerts enough to take action.

Requirements

At least 4 years in analytics engineering, data engineering, or a hybrid data role, including ownership of a significant data platform or end-to-end migration.
Deep fluency in dbt and SQL, with well-formed opinions about data grain, testing, documentation, and the tradeoffs among them.
Comfort working in Redshift or a comparable data warehouse at scale.
Built practical solutions with LLMs against your own data and can articulate what has worked; hands-on retrieval or evaluations experience is a plus.
Strong technical writing ability, capable of explaining a metric in a paragraph that a senior executive can read and understand.
Proven track record of owning technical decisions in your domain and bringing stakeholders along across the organization, including the ability to push back when the data does not support requests and still secure alignment.

Technologies

Looker
dbt
SQL
Redshift
LLM

Benefits

Stock options
incentive pay
medical benefits
financial benefits
other benefits

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Data Dictionary Engineer Jobs

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