Data Analysis & Event Reconstruction Engineer

Integration Innovation, Inc.•Washington, DC

10h

About The Position

We’re seeking a Data Analysis & Event Reconstruction Engineer to reconstruct trajectories and key event timelines from diverse data sources collected during lab, range, and field activities. You will fuse and align time-stamped data from sensors, instrumentation, and logs to produce defensible trajectory solutions and event reconstructions that support engineering decisions, test reporting, and operational effectiveness. This role is a strong fit for an Electrical, Mechanical, or Aerospace Engineer who enjoys turning disparate, real-world data into clear answers, combining estimation, physics, and MATLAB-based analysis into repeatable workflows.

Requirements

BS in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or related field (MS a plus).
Minimum of 2 years of experience
Strong MATLAB experience for data analysis, visualization, and tool development (scripts/functions; reproducible workflows).
Working knowledge of dynamics/kinematics and measurement fundamentals (coordinate frames, error sources, filtering, calibration).
Experience working with real-world test data: cleaning, merging, interpreting sensor outputs, and handling imperfect datasets.
Ability to clearly document methods and communicate results to technical and non-technical audiences.
U.S. citizenship required
Active TS/SCI required

Nice To Haves

Experience with state estimation techniques (Kalman filter/extended/unscented, smoothing), system identification, or uncertainty quantification.
Experience with flight test/range instrumentation, time distribution/synchronization (GPS time, PTP/IRIG), and metadata management.
Experience with common data formats and toolchains (CSV/HDF5/MAT, telemetry frames) and versioned pipelines.
Python experience (NumPy/SciPy/pandas) for complementary analysis or pipeline automation.
Experience with geospatial coordinate frames and transforms (ECEF/ENU/NED, WGS-84, map projections) and terrain/altitude references.
Experience producing customer-facing test reports.

Responsibilities

Reconstruct trajectories (position/velocity/attitude as applicable) from multiple measurement sources (e.g., GPS/INS, IMU, telemetry, radar, optical/video tracking, range instrumentation, time-tagged logs).
Perform time synchronization, data conditioning, and alignment across heterogeneous sources; quantify and correct biases, delays, and dropped samples.
Apply estimation techniques (e.g., least squares, Kalman filtering/smoothing, constrained fitting) to generate best-estimate trajectories with uncertainty bounds.
Reconstruct event timelines and discrete events (e.g., system state changes, separation events, detonations/impacts, trigger points) by correlating logs, telemetry, and sensor observables.
Develop MATLAB tools/scripts to automate reconstruction pipelines, generate plots, and produce repeatable reports and data products.
Validate reconstructions via cross-checks, redundancy, and physics-based sanity checks; document assumptions, limitations, and error sources.
Present results to engineering and program stakeholders through briefings and well-structured technical reports.